Abdollahian M., Yang Z., Nelson H. (2013).Techno-Social Energy Infrastructure Siting: Sustainable Energy Modeling Programming (SEMPro) // Journal of Artificial Societies and Social Simulation (JASSS), 16 (3): 6. (June 2013).

Aditya Kurve; Khashayar Kotobi; George Kesidis (2013). An agent-based framework for performance modeling of an optimistic parallel discrete event simulator // Complex Adaptive Systems Modeling. 1: 12. doi:10.1186/2194-3206-1-12.

Afful-Dadzie Anthony, Allen Theodore T., Raqab Alah, Li Jingsheng. Sufficiency model-action clarification for simulation optimization applied to an election system // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1079-1088.
In this paper, we present a graphical methodology that combines bootstrap sampling and cross-evaluation techniques to visualize the data driven support for alternative solutions for problems in which distribution parameters are estimated using small sample sizes. We illustrate the methodology using a voting machine allocation problem.

Ahn Seungjun, Anderson Kyle, Lee SangHyun. Exploration of the effect of workers’ influence network on their absence behavior using agent-based modeling and simulation // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3059-3065.
In this paper, we apply agent-based modeling and simulation to study the impact of workers’ influence networks on absence behavior. Our simulation results suggest that small social networks of workers could be more effective than big networks in reducing absenteeism when the social control is active.

Akin Gokce. Capacity management and patient scheduling in an outpatient clinic using discrete event simulation // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3928-3929.

Akopov A.S., Hevencev M.A. (2013) Multi-agent genetic algorithm for multi-objective optimization // In Proceedings of 2013 IEEE International Conference on Systems, Man and Cybernetics, pp. 1391–1396.

Aksyonov K.A., Antonova A.S. Multiagent genetic optimisation to solve the project scheduling problem // Proceedings of The Eighth International Multi-Conference on Computing in the Global Information Technology. 2013. P. 237–242.

Almudi I., Fatas-Villafranca F., Izquierdo L.R. (2013). Industry dynamics, technological regimes and the role of demand // Journal of Evolutionary Economics Vol. 23, Issue 5, pp. 1073-1098.
In this paper, we propose an industrial dynamics model to analyze the interactions between the price-performance sensitivity of demand, the sources of innovation in a sector, and certain features of the corresponding pattern of industrial transformation.

Alrabghi Abdullah, Tiwari Ashutosh, Alabdulkarim Abdullah. Simulation based optimization of joint maintenance and inventory for multi-components manufacturing systems // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1109-1119.
In this paper, we optimize preventive maintenance and spare provision policy under continuous review in a non-identical multi-component manufacturing system through a combined discrete event and continuous simulation model coupled with an optimization engine.

Anagnostou Anastasia, Nouman Athar, Taylor Simon J.E. Distributed hybrid agent-based discrete event emergency medical services simulation // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1626-1636.
This paper presents the development of a distributed hybrid agent-based discrete event simulation model within the context of emergency medical services.

Anderson Kyle, Lee SangHyun. Modeling occupant energy use interventions in evolving social networks // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3051-3058.

Angelidis Evangelos, Bohn Daniel, Rose Oliver. A simulation tool for complex assembly lines with multi-skilled resources // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.2577-2586.
The focus areas of our research are simulation and optimization of complex assembly lines for heavy machinery. These production facilities have several specific characteristics: many isolated project networks with precedence constraints and thousands of multi-mode activities, time-bounds for activities and projects, many priority rules, etc. Formally, it is defined as a Multi-Mode Resource-Constrained Multi-Project Scheduling Problem with activity splitting. In this paper, we introduce a specific custom-built simulator designed for this problem domain. The tool supports a variety of real-world extensions and dedicated behavior which usually comes at enormous runtime and development cost when it has to be built into a commercial off-the-shelf simulation tool.

Antonenko V.A., Chemeritskiy E.V., Glonina A.B., Konnov I.V., Pashkov V.N., Podymov V.V., Savenkov K.O., Smeliansky R.L., Volkanov D.Yu., Zakharov V.A., Zorin D.A. DYANA: HLA-based distributed real-time embedded systems simulation tool // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.4012-4013.
In this paper we present DYANA, an HLA-based hardware-in-the-loop simulation tool.

Arslan M.O., Ican O. (2013). An Agent-Based Analysis of Tax Compliance for Turkey // Anadolu University Journal of Social Sciences, 13(2), 143-152.
An agent-based tax compliance model for Turkey is developed in this paper. In this model, four kinds of agent archetypes as honest, strategic, defiant, and random are employed. The model is used for simulating evolutionary changes in tax compliance behavior of a population of 10,000 taxpayer agents. The implementation of the model via four simulation scenarios points out that an agent-based evolutionary strategy simulation for Turkish case is valid.

Arslan M.O., Ican O. (2013). The Effects of Neighborhood on Tax Compliance Rates: Evidence from an Agent-Based Model // Journal of Cukurova University Institute of Social Sciences, 22(1), 337-350.
This paper investigates the effects of neighborhood on tax compliance behavior of taxpayers based on an agent-based tax compliance model. To this aim, it is attempted to find out different tax compliance patterns under different “penalty rate - audit rate” combinations and for von Neumann neighborhood, Moore neighborhood, and no neighborhood schemes. The findings throw into sharp relief that both von Neumann and Moore neighborhoods are reducing compliance behavior of taxpayers considerably. The results of scenario runs put the case clearly.

Artemenko Viktor Modeling of Learning Analysts in e-Learning // International Conference in Inductive Modelling ICIM 2013. C.247-250.
We consider the development of learning analytics tools for distance learning using the agent- based and neural network approaches. It is proposed a hybrid agent-based model with built-in artificial neural networks. The model aims to support the computer simulation experiments evaluating the trends of production and dissemination of knowledge of the participants (agents) of three types: the authors, tutors and students of online courses. We study the efficiency of the software implementation of this model as an example of one of the higher education institutions.

Asadi Hirad, Schubert Johan. A stochastic discrete event simulator for effects-based planning // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.2842-2853.
In this paper we describe the architectural framework and information flow model of a stochastic discrete event simulator for evaluating military operational plans. The simulator is tailored for Effect-based Planning where the outcome of a plan is compared with a desired end state. The simulator evaluates several alternative plans and identifies those that are closest to the desired end state. The scenario is carried out in a fictitious country called Bogaland. The simulator focuses on separation of military scenario data (implemented as an XML-model) and military action logic (implemented as a rule based engine). The results show that alternative plans can be identified based on efficiency and effectiveness.

Babina O.I., Mochkovich L.I. Application of simulation for processes of planning and management at the industrial enterprise // Журнал Сибирского федерального университета. Серия: Гуманитарные науки. 2013. Т. 6. № 1. С. 85-92.

Baggio Jacopo A., Janssen Marco A. Comparing agent-based models on experimental data of irrigation games // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1742-1753.
We present different models relating to theories of human behavior and compare them to actual data collected during experiments on irrigation games with 80 individuals divided in 16 different groups. We run a total of 7 different models: from very simple ones involving 0 parameters, to increasingly complex ones that include different type of agents, learning and other-regarding preferences. By comparing the different models we find that the most comprehensive model of human behavior be-haves not far from an ad hoc model built on our dataset.

Bajracharya K., Duboz R. (2013). Comparison of Three Agent-Based Platforms on the Basis of a Simple Epidemiological Model (WIP) // In the Proceedings of the Symposium on Theory of Modeling & Simulation, DEVS Integrative M&S Symposium, San Diego, CA.

Balaban Mariusz, Hester Patrick. Exploration of purpose for multi-method simulation in the context of social phenomena representation // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1661-1672.
This paper explores the literature that pertains to mixing methods, and displays current reasoning behind the use of the multi-method approach. The perspective on mixing methods from empirical social science projected onto M&S domain exposes high-level purposes related to representation of social phenomena with mixed method approaches. Based on the reviewed literature and qualitative analysis, the general view of ingredients for inferring purposefulness of the multi-method approach in the context of social phenomena representation is proposed.

Balci Osman, Deater-Deckard Kirby, Norton Anderson. Challenges in teaching modeling and simulation online // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3568-3575.
This paper presents an online learning quality model and discusses such challenges by giving the first author's own free online M&S courseware as an example. The quality model presented provides guidelines for the development of any online course.

Barahona Francisco, Ettl Markus, Petrik Marek, Rimshnick Peter M. Agile logistics simulation and optimization for managing disaster responses // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3340-3351.
In this paper we develop a simulation and optimization framework for managing the logistics of distributing relief supplies in a multi-tier supply network. The simulation model captures optimized stocking of relief supplies, distribution operations at federal or state-operated staging facilities, demand uncertainty, and the dynamic progression of disaster response operations. The simulation framework accommodates a wide range of disaster scenarios and stressors, and helps assess the efficacy of response plans and policies for better disaster response.

Barton Russell R. Designing simulation experiments // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.342-353.
Much effort goes into building and validating simulation models. Similar care is necessary in the use of the model to support decision making. Good simulation experiment design is important to get useful and valid insights for specific management questions. This introductory tutorial gives an overview of experiment design techniques for justifying and planning a series of simulation runs to uncover the impact of system design parameters on simulation output performance. Graphical methods are emphasized.

Bechard Vincent, Cote Normand. Simulation of mixed discrete and continuous systems: an iron ore terminal example // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1167-1178.
This paper presents a novel technique based on maximizing flow through a network where nodes are black-box model units. This network-based method is less sensitive to problem size; the computation effort required to solve the mass balance is proportional to O(m+n) instead of O(mn) with linear programming. The approach was implemented in Flexsim software and used to simulate an iron ore port terminal. Processes included in the model were: mine-to-port trains handling, port terminal equipment (processing rate, capacity, operating logic, failures) and ship loading.

Bernardino J.P.R., van der Hoord M. Parking policy and urban mobility level of service – system dynamics as a modeling tool for decision making // Europ. Jour. of Transport and Infrastructure Research, 2013, i. 13, vol. 3, pp. 239–248.

Berner Fritz, Kochkine Vitali, Habenicht Ilka, Spieckermann Sven, Vath Cornelius. Simulation in manufacturing planning of buildings // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3306-3317.
The approach taken, the challenges encountered and insights gained will be presented in this article.

Bezirgiannis N. (2013). Improving Performance of Simulation Software Using Haskell's Concurrency & Parallelism // Universiteit Utrech. (Sept 2013).

Biondo A.E., Pluchino A., Rapisarda A. (2013). Return Migration After Brain Drain: A Simulation Approach // Journal of Artificial Societies and Social Simulation (JASSS), 16(2), 11.

Bocciarelli Paolo, D’Ambrogio Andrea, Giglio Andrea, Gianni Daniele. A SaaS-based automated framework to build and execute distributed simulations from sysML models // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1371-1382.
In this respect, this work introduces HLAcloud, a model-driven and cloud-based framework to support both the implementation of a distributed simulation (DS) system from a SysML specification of the system under study and its execution over a public cloud infrastructure. The proposed approach, which exploits the HLA (High Level Architecture) DS standard, is founded on the use of model transformation techniques to generate both the Java/HLA source code of the DS system and the scripts required to deploy and execute the HLA federation onto the PlanetLab cloud-based infrastructure.

Boone, Randall B., Moore, John C., Koyama, Akihiro, Holfelder, Kirstin. (2013, November 21). Soil microbe-predator model with enzymes (Version 1) // CoMSES Computational Model Library.

Borsboom D., Cramer A.O. (2013). Network analysis: An integrative approach to the structure of psychopathology // Annual Review of Clinical Psychology, 9, 91-121.

Andrei Borshchev Multi-method modeling // In «Proceedings of the 2013 Winter Simulation Conference», edited by R.Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M. E. Kuhl, eds P.4089-4100. USA.
Frequently, the problem cannot completely conform to one of the three existing modeling paradigms (discrete event, system dynamics, or agent based modeling). Thinking in terms of a single-method modeling language, the modeler inevitably either starts using workarounds (unnatural and cumbersome constructs), or just leaves part of the problem outside the scope of the model (treats it as exogenous). If our goal is to capture business, economic, and social systems in their interaction, this becomes a serious limitation. In this paper we offer an overview of most used multi-method (or multi-paradigm) model architectures, discuss the technical aspects of linking different methods within one model, and consider examples of multi-method models. The modeling language of AnyLogic is used throughout the paper.

Sally C. Brailsford, Joe Viana, Stuart Rossiter, Andrew (Amos) Channon, Andrew J. Lotery Hybrid simulation for health and social care: the way forward, or more trouble than it’s worth? // In «Proceedings of the 2013 Winter Simulation Conference», edited by R.Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M. E. Kuhl, eds P.258-269. USA.
This paper describes the process of developing a hybrid simulation model for a disease called age-related macular degeneration (AMD), a common cause of sight loss in people aged over 65. The model is implemented in the software Any Logic, and combines discrete-event and agent-based simulation. Embedded in each agent there is also an individual compartmental model for disease progression. The overall aim of the hybrid model was to use the specific example of AMD to explore the wider links between the health and social care systems in the UK. We dis-cuss the challenges of model development and the rationale for our modelling decisions, and reflect upon the advantages and disadvantages of using a hybrid model in this case.

Brooks James D., Mendonca David. Simulating market effects on boundedly rational agents in control of the dynamic dispatching of actors in network-based operations // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.169-180.
This work presents (1) a method for extracting computational decision models from transaction data and (2) a sensitivity analysis of the effect of market design and predictability of dispatcher decisions on system performance. The approach is illustrated for the case of a recent debris removal mission following extensive tornadoes in Alabama in 2011 which involved daily dispatching of an average of 28 hauling vehicles to an average of 6 work locations in the region of interest. Results of model validation against these historical tracking data are presented, along with implications for future work.

Byrne James, Byrne, Carvalho e Ferreira Diana, Ivers Anne Marie. Towards a cloud based sme data adapter for simulation modelling // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.147-158.

Capocchi Laurent, Santucci Jean-Francois. Discrete optimization via simulation of catchment basin management within the DEVSimPy framework // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.205-216.
This paper deals with Optimization via Simulation of the management of a catchment basin involving dams, electrical power station, pumping station, valves, etc. We explain how an iterative process allows us to integrate optimization algorithms into a discrete-event simulation using a Discrete Optimization via Simulation methodology. This process has been implemented using the DEVS simulator in Python language environment and the obtained results point out the feasibility of the proposed approach. Furthermore this software is actually used by the Corsican Water Agency in order to efficiently manage the South East water network.

Cardoso Leonardo das Dores, Rangel Joao Jose de Assis, Bastos Patrick Junior Teixeira. Discrete event simulation for integrated design in the production and commissioning of manufacturing systems // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.2544-2552.
This paper presents a hybrid environment for testing and training in control systems in manufacturing. The hybrid environment uses a Discrete Event Simulation model integrated to didactic stations of manufacturing processes used in the training of students. The control logic of the automated system can operate in real-time and integrate to the process, both in the simulation model as in the manufacturing real system.

Cayirci Erdal. Modeling and simulation as a cloud service: a survey // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.389-400.
Modelling and simulation as a service (MSaaS) is defined, and the differences between MSaaS and Soft-ware as a Service are clarified. MSaaS architectures and deployment strategies are surveyed. The top threats to cloud computing and MSaaS, the other security challenges and technical requirements are explained. Accountability, risk and trust modelling are related to each other and also to security and privacy. Those notions and their relations are presented. MSaaS composition in multi-datacenter and/or multi-cloud scenarios is also elaborated on.

Centeno Ana Paula, Martin Richard, Sweeney Robert. REDSim: a spatial agent-based simulation for studying emergency departments // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1431-1442.
In this paper we present REDSim, a spatial agent-based simulation framework for studying emergency departments. REDSim focuses on quantifying the impacts of staff decision processes, such as patient selection, on the length of stay, waiting and boarding times, and other variables. We show REDSim’s effectiveness by comparing four patient selection strategies: longest waiting, shortest distance, random, and highest acuity. REDSim showed that although patient length of stay is not significantly reduced (1.4%) the throughput increases 17% when providers select the closest instead of the highest acuity patient for the next task.

Cheng Russell C.H., Haas Peter J., Robinson Stewart, Schruben Lee, Roeder Theresa M. Panel: are we effectively preparing our students to be certified analytics professionals? // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3544-3555.
An increase in media and business attention has raised the visibility of Operations Research and «Analytics». In 2012, INFORMS announced its Certified Analytics Professional program to provide practitioners a standardized qualification in the field. Are we doing an adequate job of preparing our students to be analytics professionals in simulation? Our simulation courses tend to be heavily focused on methodology and analysis.

Cheng Shih-Fen, Lin Larry, Du Jiali, Lau Hoong Chuin, Varakantham Pradeep. An agent-based simulation approach to experience management in theme parks // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1527-1538.
In this paper, we illustrate how massive agent-based simulation can be used to investigate an exciting new application domain of experience management in theme parks, which covers topics like congestion control, incentive design, and revenue management.

Chingcuanco Franco, Osorio Carolina. A procedure to select the best subset among simulated systems using economic opportunity cost // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.452-462.
We consider subset selection problems in ranking and selection with tight computational budgets. We develop a new procedure that selects the best m out of k stochastic systems. Previous approaches have focused on individually separating out the top m from all the systems being considered. We reformulate the problem by casting all m-sized subsets of the k systems as the alternatives of the selection problem.

Collard P., Mesmoudi S., Ghetiu T., Polack F. (2013). Emergence of Frontiers in Networked Schelling Segregationist Models // Journal Complex Systems, 22(1).

Collard P., Verel S., Clergue M. (2013). Systemes Complexes: une introduction par la pratique // [Complex Systems: An Introduction to Practice] Presses Polytechniques et Universitaires Romandes. Publisher of the EPFL Press, Lausanne [France], 306 p. (ISBN: 978-2-88074-991-0).

Collier N.; North M. (2013). Parallel agent-based simulation with Repast for high performance computing // Simulation. 89 (10): 1215–1235. doi:10.1177/0037549712462620.

Currie Christine S.M., Cheng Russell C.H. A practical introduction to analysis of simulation output data // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.328-341.
In this tutorial we will introduce a selection of the basic output analysis techniques needed to complete a successful simulation project. The techniques will be introduced with examples to give practical advice on their use. We will discuss how to choose an appropriate warm-up duration and number of replications, as well as describing the presentation and analysis of performance measures of interest.

Damaceanu R-C. (2013). Agent-Based Computational Economics Using NetLogo // Bentham Science Publishers.

Davis Ashley, Mehrotra Sanjay, Friedewald John, Ladner Daniela. Characteristics of a simulation model of the national kidney transplantation system // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.2320-2329.
This paper discusses the development of a discrete event simulation of the kidney transplantation system, KSIM. KSIM design is discussed and can easily be adapted to test alternative geographic organ allocation policies. Input analysis employing actual transplantation system data was conducted to best represent patient and organ arrival processes. After discussing our model, we briefly describe how KSIM was verified and validated against twenty years of actual transplantation system information. We also describe the potential usability of KSIM in organ allocation policy development.

Delaney L., Kleczkowski A., Maharaj S., Rasmussen S., Williams L. (2013). Reflections on a Virtual Experiment Addressing Human Behavior During Epidemics // Summer Computer Simulation Conference. ACM Digital Library.

Demarest J., Pagsuyoin S., Learmonth G., Mellor J., Dillingham R. (2013). Development of a Spatial and Temporal Agent-Based Model for Studying Water and Health Relationships: The Case Study of Two Villages in Limpopo, South Africa // Journal of Artificial Societies and Social Simulation (JASSS), 16 (4): 3. (Oct 2013).
In this paper, we present a tool for understanding the complex relationship between water and public health in rural areas of a developing country. A spatial and temporal agent-based model (ABM) was developed to simulate the current water, sanitation, and health status in two villages in Limpopo Province, South Africa. The model was calibrated using empirical data and published sources. It was used to simulate the effects of poor water quality on the frequency of diarrheal episodes in children, and consequently on child development.

Devyatkov V.V., Vlasov S.A., Devyatkov T.V. Cloud Technology in Simulation Studies: GPSS Cloud Project (Облачные технологии в имитационных исследованиях: Проект GPSS Cloud) // Proceedings of the 7th IFAC Conference on Manufacturing Modeling, Management, and Control. – Saint Petersburg (Russia): IFAC, June 19-21, 2013. – Volume 7. – Part 1. – P. 637-641.

Duarte Olson I. (2013). Cultural Differences Between Favela and Asfalto in Complex Systems Thinking // Journal of Cognition and Culture, 13(1-2), 145-157. doi:10.1163/15685373-12342089.

Duarte Olson I. (2013). Inequality in Levels: Navigating Everyday Complexity. In Ojalehto, B., Medin, D. Conceptualizing Complex Systems: How People Navigate Social and Ecological Systems. Symposium accepted to the Society for Anthropological Sciences Meeting.

Duarte Olson I. (2013). «It's like an epidemic, it catches on»: Community Knowledge of Everyday Complex Phenomena // In C. Lee and G. Saxe. (Co-chairs). Capitalizing on Knowledge Co-Constructed via the Praxis of Historically Nondominant Groups. Symposium accepted to the American Educational Research Association Conference.

Duckham M. (2013). Decentralized Spatial Computing: Foundations of Geosensor Networks // Springer.

Dykstra P., Elsenbroich C., Jager W., de Lavalette G.R., Verbrugge R. (2013). Put Your Money Where Your Mouth Is: DIAL, A Dialogical Model for Opinion Dynamics // Journal of Artificial Societies and Social Simulation (JASSS), 16 (3): 4. (June 2013).
We present DIAL, a model of group dynamics and opinion dynamics. It features dialogues, in which agents gamble about reputation points. Intra-group radicalisation of opinions appears to be an emergent phenomenon. We position this model within the theoretical literature on opinion dynamics and social influence.

Marcelo Moretti Fioroni, Douglas José da Silva, Luiz Augusto G. Franzese, Mário José Barbosa Cerqueira Júnior, Daniel de Amorim de Almeida Modeling the sugar cane logistics from farm to mill // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M. E. Kuhl, eds. P.3510-3521.
A continuous and discrete system gets distinct approach from modelers, since both have very particular characteristics. Some simulation tools are specialized in one system or another, but the great majority fo-cuses on discrete modeling. However, there are many hybrid systems where a continuous process interfaces with discrete. Despite being possible to model both systems with particular modeling tools, they have to be properly connected. An example of hybrid system is the ethanol production chain, where the transport of the raw material sugar cane has important interactions between the main components of the chain, where there is exchange of equipment, transport and interface of continuous systems with discrete, and vice versa. This study presents the algorithms and techniques used to model the logistics operations of the Alcohol/Sugar producer Raízen, developed using the SIMIO simulation tool.

Fioroni Marcelo Moretti, Franzese Luiz Augusto G., Costa Marcello, Kuhn Andre. Construction planning simulation at GRU airport // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.2854-2865.
This paper presents a discrete-event simulation approach for a soil replacement project of great importance to the Brazilian government. This was part of the expansion work at GRU Airport, the greatest and most important of the country, and was being carried by the Brazilian Army. The airport should be ready for the increasing demand expected for World Cup in 2014 and Olympics in 2016. The study started with the original deterministic schedule, and considered several external factors, like traffic, rain sea-sons and providers capacity. After evaluating many scenarios and identifying some bottlenecks, the best scenario was found, with a due date sooner than initially planned.

Fioroni Marcelo Moretti, Jose da Silva Douglas, Franzese Luiz Augusto G., Junior Mario Jose Barbosa Cerqueira, Daniel de Amorim de Almeida. Modeling the sugar cane logistics from farm to mill // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3510-3521.
This study presents the algorithms and techniques used to model the logistics operations of the Alcohol/Sugar producer Raízen, developed using the SIMIO simulation tool.

Fioroni Marcelo Moretti, Quevedo Johanna Gomez, Santana Isac Reis, Franzese Luiz Augusto G., Cuervo Daniel, Sanchez Paola, Narducci Francesco. Signal-oriented railroad simulation // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3533-3543.
This paper describes the experience of modeling a railway line used for coal transportation in Colombia, used by one of the largest open pit coal mining companies in the world, and the most important in the country: Carbones del Cerrejon. After experiencing and analyzing different options, the model was built with a signal-oriented decision process, where all train movements are allowed or restricted by the line signals.

Frank B.M., Baret P.V. (2013). Simulating brown trout demogenetics in a river/nursery brook system: The individual-based model DemGenTrout // Ecological Modelling, 248, pp.184-202.

Frey S., Goldstone R.L. (2013). Cyclic game dynamics driven by iterated reasoning // PLOS ONE, 8(2): 2-11.

Galic N., Hengeveld G.M., Van den Brink P.J., Schmolke A., Thorbek P., Bruns E., Baveco H.M. (2013). Persistence of Aquatic Insects across Managed Landscapes: Effects of Landscape Permeability on Re-Colonization and Population Recovery // PLoS ONE 8:e54584.

Gao Baojun, Chan Wai Kin (Victor). Sub-lognormal size distribution of hospitals – an agent-based approach and empirical study // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1443-1454.
This paper studies the size distribution of hospitals and its underlying generative mechanisms. Based on the U.S. hospital data, we find that the size distribution is sub-lognormal (a leptokurtic distribution more skewed than normal but less skewed than lognormal). We develop an agent-based simulation model to simulate the preference behavior of patients and the service processes of hospitals. The model can produce a sub-lognormal size distribution similar to the U.S. hospital size distribution. Sensitivity analysis shows that the patients’ preference behavior and search distance are two key factors for the emergence of the sub-lognormal size distribution.

Gaudou B. et al. The MAELIA multi-agent platform for integrated assessment of low-water management issues // International Workshop on Multi-Agent Systems and Agent-Based Simulation: MABS 2013. pp. 85-100.

Ghorbani A., Bots P., Dignum V., Dijkema G. (2013). MAIA: a Framework for Developing Agent-Based Social Simulations // Journal of Artificial Societies and Social Simulation (JASSS), 16 (2): 9.
In this paper we introduce and motivate a conceptualization framework for agent-based social simulation, MAIA: Modelling Agent systems based on Institutional Analysis. The MAIA framework is based on Ostrom's Institutional Analysis and Development framework, and provides an extensive set of modelling concepts that is rich enough to capture a large range of complex social phenomena.

Ginovart M. (2013). Discovering the Power of Individual-Based Modelling in Teaching and Learning: The Study of a Predator-Prey System // Journal of Science Education and Technology (JSET).

Gkiolmas A., Karamanos K., Chalkidis A., Skordoulis C., Papaconstantinou M., Stavrou D. (2013). Using Simulations of NetLogo as a Tool for Introducing Greek High-School Students to Eco-Systemic Thinking // Advances In Systems' Science and Applications, 13(3): 275-297.
In this paper, the effectiveness of the NetLogo programming environment is investigated, as regards assisting students (of various levels of achievement) of the Greek Higher Secondary Education, to understand how some simple ecosystems are structured and to model the systemic behaviour of such ecosystems by conceptualizing their Complexity features. This paper is part of a wider research on teaching Ecosystem Complexity to high-school students, with the use of Information and Communication Technologies.

Goldsby Michael E., Pancerella Carmen M. Multithreaded agent-based simulation // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1581-1591.
Multithreading can significantly increase the performance of large agent-based simulations on multicore systems, but agent-based software packages do not commonly offer adequate support for multithreading. This report describes alterations and additions made to the MASON agent-based simulation package that allow the application programmer to make use of multiple threads easily and without radical change to conventional agent-based programming style. The report confirms performance gains with the results of test runs.

Gopalakrishnan Maheshwaran, Skoogh Anders, Laroque Christoph. Simulation-based planning of maintenance activities in the automotive industry // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.2610-2621.
This paper discusses an approach to integrate maintenance strategies into a production planning approach using discrete event simulation. The aim is to investigate how and where in the planning process maintenance strategies can be integrated and how different maintenance strategies influence production performance and the overall robustness of production plans. The approach is exemplified in an automotive case study, integrating strategies for reactive maintenance in a simulation model to support decision making on how repair orders should be prioritized to increase production performance.

Gorelova G.V., Mandel M.V. Simulation modeling as a tool for the study of regional labor market // Technological Institute of Southern Federal University, Taganrog, 2013.
The paper discusses the problems of the Russian labor market and simulation of structure, status and labor market development. Simulation is needed to develop and substantiate regulatory impacts, which can reduce the level of unemployment and tension in labor market. The authors propose to use the methodology of cognitive modeling, methods of system dynamics and agent-based modeling. The application of this methodology is illustrated by using an example of simulation analysis of the regional labor market.

Grabau Mark, Conley Quinn, Marshall Melissa. Business process simulation for claims transformation // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1784-1792.
Westfield Insurance is undertaking a replacement of its legacy claims system. They had several business process and staffing changes they were considering; however, they had no way to test their options prior to implementation. After successfully simulating the First Notification of Loss to adjuster assignment process, Westfield decided to append the rest of the claims process. This resulted in an end-to-end claims process simulation, including adjudication, settlement, litigation, salvage, subrogation claims and fraud.

Grether D. Agent-based Modelling and Simulation of Air Transport Technology / D. Grether, S. Furbas, K. Nagel // Procedia Computer Science. 2013. № 19. C. 821-828.

Grigoriev O.V., Bondareva I.O., Latypova E.A. Cargo port strategic risk management using simulation // Вестник АГТУ. Серия: Управление, вычислительная техника и информатика, № 1, ISSN 2072-9502, 2013, p.155-162.
The possibility of increasing the efficiency of cargo port business process management is considered. The technology of balanced scorecard creating, from the choosing of strategy, constructing the tree of goals, making the specification of the tree of goals according to four perspectives: financial, customer, internal business processes, training and development; to the constructing of the strategic map of the cargo port, which includes the main indicators reflecting the results of the port business process, is described. The possibility of using the concept of an enterprise risk management system together with the concept of a balanced scorecard is also studied. An imitation model evaluating cargo port strategic risks, depending on the change in the input data model based on the construction of risk maps is presented.

Gruter C., Schurch R., Farina W.M. (2013). Task-partitioning in insect societies: Non-random direct material transfers affect both colony efficiency and information flow // J. Theor. Biol., 327, 23–33. doi:10.1016/j.jtbi.2013.02.013.

Guerrero, D.A., Jimenez, R.M., & Rodriguez-Colina, E. (2013). WSN simulation model with a complex systems approach // In Proceedings of the 2013 Summer Computer Simulation Conference (SCSC '13), Article No. 41.

Gulden T.R. (2013). Agent-Based Modeling as a Tool for Trade and Development Theory // Journal of Artificial Societies and Social Simulation (JASSS), 16 (2): 1.
This paper makes use of an agent-based framework to extend traditional models of comparative advantage in international trade, illustrating several cases that make theoretical room for industrial policy and the regulation of trade. Using an agent based implementation of the Hecksher-Ohlin trade model; the paper confirms Samuelson's 2004 result demonstrating that the principle of comparative advantage does not ensure that technological progress in one country benefits its trading partners.

Guo Wei, Rand William, Jank Wolfgang. Switching behavior in online auctions: empirical observations and predictive implications // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1395-1406.
In this paper, we use simulation to explore bidders’ switching behavior between auctions for similar products. Using an empirical dataset, we first examine the distribution of switching and associated bidding behavior in real auctions. We use this data to create an agent-based model that reproduces the price process observed in the empirical data. Using this model we then explore the effects of: (1) different switching distributions, (2) the switching rule, i.e., which auction to switch to, and (3) different auction start rates.

Heckbert S. (2013). MayaSim: An Agent-Based Model of the Ancient Maya Social-Ecological System // Journal of Artificial Societies and Social Simulation (JASSS), 16 (4): 11. (Oct 2013).
This paper presents results from the MayaSim model, an integrated agent-based, cellular automata, and network model representing the ancient Maya social-ecological system. The model represents the relationship between population growth, agricultural production, soil degradation, climate variability, primary productivity, hydrology, ecosystem services, forest succession, and the stability of trade networks.

Herazo-Padilla Nilson, Montoya-Torres Jairo R., Muñoz-Villamizar Andres, Isaza Santiago Nieto, Polo Luis Ramirez. Coupling ant colony optimization and discrete-event simulation to solve a stochastic location-routing problem // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3352-3362.
This paper considers the stochastic version of the location-routing problem in which transportation cost and vehicle travel speeds are both stochastic. A hybrid solution procedure based on Ant Colony Optimization (ACO) and Discrete-Event Simulation is proposed. After using a sequential heuristic algorithm to solve the location subproblem, ACO is employed to solve the corresponding vehicle routing problem.

Hu Yunping, Xiao Jun, Zhao Hao, Rong Gang. DEVSMO: an ontology of DEVS model representation for model reuse // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.4002-4003.
In this paper, a modeling ontology named DEVSMO is proposed. DEVSMO uses structured programming theory to express the programming logic and uses MathML to express the mathematical models in the model behavior. Structured programming theory and MathML provide a set of standard terminologies, so the generality of model representation is improved. Furthermore, DEVSMO supports both classic and parallel DEVS formalisms and has good reusability for other formalisms.

Huddleston Samuel H., Brown Donald E. Using discrete event simulation to evaluate time series forecasting methods for security applications // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.2772-2783.
This paper documents the use of a discrete event simulation model to compare the effectiveness of forecasting systems available to support routine forecasts of criminal events in security applications. Military and police units regularly use forecasts of criminal events to divide limited resources, assign and redeploy special details, and conduct unit performance assessment. We use the simulation model to test the performance of available forecasting methods under a variety of conditions, including the presence of trends, seasonality, and shocks.

Huerta Aida, Elizondo Mayra, Brizi Stefano, Roma Massimo, De Luca Paolo. Analyzing the main and first order effects of operational policies on the warehouse productivity // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3950-3951.
Using SIMIO simulation modeling framework, the main and first order effects of warehouse operational policies on the pallet order consolidation productivity is analyzed. The internal warehouse processes and functions are modeled by means of the discrete-event approach, while the unit-load automated guided vehicles are modeled by means of agents.

Hughes Ed, Lada Emily, Meanor Phillip, Chen Hong. Introduction to SAS Simulation Studio // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.4026-4036.
An overview is presented of SAS Simulation Studio, an object-oriented, Java-based application for building and analyzing discrete-event simulation models. Emphasis is given to Simulation Studio’s hierarchical, entity-based approach to resource modeling, which facilitates the creation of realistic simulation models for systems with complicated resource requirements, such as preemption. Also discussed are the various ways that Simulation Studio integrates with SAS and JMP for data management, distribution fitting, and experimental design.

Ingalls Ricki G. Introduction to simulation // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.291-305.
Simulation is a powerful tool if understood and used properly. This introduction to simulation tutorial is designed to teach the basics of simulation, including structure, function, data generated, and its proper use. The introduction starts with a definition of simulation, goes through a talk about what makes up a simulation, how the simulation actually works, and how to handle data generated by the simulation. Throughout the paper, there is discussion on issues concerning the use of simulation in industry.

Izquierdo L.R., Izquierdo S.S., Galan J.M., Santos J.I. (2013). Combining Mathematical and Simulation Approaches to Understand the Dynamics of Computer Models // In Simulating Social Complexity: A Handbook. Series: Understanding Complex Systems. Springer-Verlag, pp. 235-271.

Jansson F. (2013). Pitfalls in Spatial Modelling of Ethnocentrism: A Simulation Analysis of the Model of Hammond and Axelrod // Journal of Artificial Societies and Social Simulation (JASSS), 16 (3): 2. (June 2013) .

Jespersen Kristina Risom. Forecasting economic performance of implemented innovation openness // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1847-1855.
The aim of the paper is therefore also to develop an open innovation agent-based modeled simulations (ABMS) to explore the relative effects of innovation openness and initial capability endowment on firm innovation economics in a competitive context. In this respect the ABMS is applied as a data generating methodology of organizational behavior and industry dynamics. The ABMS acts as a combination of digital role play and experimental design.

Jin Xianfei, Sivakumar Appa Iyer, Lim Sing Yong. A simulation based analysis on reducing patient waiting time for consultation in an outpatient eye clinic // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.2192-2203.
This paper presents a preliminary analysis to reduce patient waiting time for consultation in an outpatient eye clinic, using a data driven discrete event simulation model. Several proposed strategies, such as pool scheduling of patients, uniform patient arrivals and improved process flow, have been studied. It is found that patients’ irregular arrival pattern during a day is one of the main causes of the long waiting time. Simulation model of an eye clinic located in Singapore is used as the base case and the effects are quantified against the base model.

Kang Hyojung, Nembhard Harriet Black, Curry William, Ghahramani Nasrollah, Hwang Wenke. A systems dynamics approach to support prospective planning of interventions to improve chronic kidney disease care // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3946-3947.
This article describes how system dynamics supported the planning of the project. We developed a causal loop diagram through discussions with a panel advisory group and health providers. The model is particularly effective because it can demonstrate the interrelationships among patients, providers, and policies, and predict the effects of the interventions.

Kasaie Parastu, Dowdy David W., Kelton W. David. An agent-based simulation of a tuberculosis epidemic: understanding the timing of transmission // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.2227-2238.
We develop an agent-based simulation of a tuberculosis (TB) epidemic in a single population, and consider a hierarchically structured contact network in three levels, typical of airborne diseases. The parameters are adopted from the literature, and the model is calibrated to a setting of high TB incidence. We model the dynamics of transmission at the individual level, and study the timing of secondary infections from a single source throughout the duration of the disease. We compare the patterns of transmission among different networks and discuss implications. Sensitivity analysis of outputs indicates the robustness of the results to variations in the parameter values.

Kasmire J., Nikolic I., Dijkema G. (2013). Evolving Greenhouses: An Agent-Based Model of Universal Darwinism in Greenhouse Horticulture // Journal of Artificial Societies and Social Simulation (JASSS), 16 (4): 7. (Oct 2013) .

Khalili Mohammad H., Zahedi Farhad. Modeling and simulation of a mattress production line using ProModel // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.2598-2609.
The study aims mainly at exploring the application of modeling and simulation (M&S) in order to evaluate and provide performance results that could help measure the capacity and the capability of an existing mattress production line, and to further investigate whether the production line could cope with the firm’s expansion plan over the next five years. The simulation model was built and analyzed using the ProModel. The analysis found that the current production setup could not cope with the demand over the next five years. The results indicated that the new system was able to meet the new demand and cope with the proposed expansion plan.

Sojung Kim, Santosh Mungle, Young-Jun Son An agent-based simu-lation approach for dual toll pricing of hazardous material transportation // In «Proceedings of the 2013 Winter Simulation Conference», edited by R.Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M. E. Kuhl, eds P.2520-2531. USA.
A dual toll pricing is a conceptual policy in which policy maker imposes toll on both hazardous materials (hazmat) vehicles as well as regular vehicles for using populated road segments to mit-igate a risk of hazmat transportation. It intends to separate the hazmat traffic flow from the regu-lar traffic flow via control-ling the dual toll. In order to design the dual toll pricing policy on a highly realistic road network environment and detailed human behaviors, an extended BDI framework is employed to mimic human decision behaviors in great detail. The proposed approach is implemented in AnyLogic agent based simulation software with using a traffic data of Albany, NY. Also, search algorithms in OptQuest are used to determine the optimum dual toll pricing policy which results in the minimum risk and travel cost based on the simulation results. The result reveals the effectiveness of the proposed approach in devising a reliable policy under the realistic road network conditions.

Kim Song-Hee, Whitt Ward. Using simulation to study statistical tests for arrival process and service time models for service systems // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1223-1232.
Using extensive simulation experiments, we study the power of various alternative Kolmogorov-Smirnov (KS) tests based on data transformations. Among available alternative tests, we find the one with the greatest power in testing a nonhomogeneous Poisson Process (NHPP). Furthermore, we devise a new method to test a sequence of i.i.d. random variables with a specified continuous cdf; it first transforms a given sequence to a rate-1 Poisson process (PP) and then applies the existing KS test of a PP. We show that it has greater power than direct KS tests.

Kim Y., Zhong W., Chun Y. (2013). Modeling Sanction Choices on Fraudulent Benefit Exchanges in Public Service Delivery // Journal of Artificial Societies and Social Simulation (JASSS), 16 (2): 8.
In this paper, an agent-based simulation model is built to gain insight on sanction choices to deter fraudulent activities in public service delivery programs. The simulation outputs demonstrate that sanctions with low certainty must be accompanied by prompt action in order to observe a reduction in fraudulent vendors.

Klaas Alexander, Laroque Christoph, Renken Hendrik, Dangelmaier Wilhelm. Simulation aided, self-adapting knowledge based control of material handling systems // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3418-3429.

Kleijnen Jack P.C., Mehdad Ehsan. Conditional simulation for efficient global optimization // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.969-979.
A classic Kriging or Gaussian process (GP) metamodel estimates the variance of its predictor by plugging-in the estimated GP (hyper) parameters; namely, the mean, variance, and covariances. The problem is that this predictor variance is biased. To solve this problem for deterministic simulations, we propose «conditional simulation» (CS), which gives predictions at an old point that in all bootstrap samples equal the observed value. CS accounts for the randomness of the estimated GP parameters.

Klepikova О. Modeling operational support marketing solutions of manufacture with AnyLogic // Visnyk of the Lviv University. Series Economics. 2013. Issue 50. P. 146–151.
The article deals with the modern approach of simulation to study the production and marketing of the company. Research methods are methods and model simulation. The recommendations to improve marketing decisions on production through the use of a simulation model which includes three approaches of simulation: Discrete Event, Agent Based, and System Dynamics Simulation.

Klimenko A.A., Ougolnitsky G.A. Subsystem «Developer» as a part of the Retail Payment System // Computer Research and Modeling, 2013, vol. 5, no. 1, pp. 25–36 (Russian).
In this paper we consider one of the core subsystems of the retail payment system named «Developer». The Queuing System for modeling this subsystem was developed and information about it is provided. The task for the assignment problem was set up and solved (the modification of the Hungarian algorithm was used). Information about Agent Based Model for subsystem «Developer» and the results of the simulation experiments are given.

Kondratyev M.А. Forecasting methods and models of disease spread // Computer Research and Modeling, 2013, vol. 5, no. 5, pp. 863–882 (Russian).
The number of papers addressing the forecasting of the infectious disease morbidity is rapidly growing due to accumulation of available statistical data. This article surveys the major approaches for the shortterm and the long-term morbidity forecasting. Their limitations and the practical application possibilities are pointed out. The paper presents the conventional time series analysis methods — regression and autoregressive models; machine learning-based approaches — Bayesian networks and artificial neural networks; case-based reasoning; filtration-based techniques. The most known mathematical models of infectious diseases are mentioned: classical equation-based models (deterministic and stochastic), modern simulation models (network
and agent-based).

Kuchel Dallas. Analyzing noncombatant evacuation operations using discrete event simulation // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.2751-2761.
This paper describes the methodology used to analyze Noncombatant Evacuation Operations (NEO) by the Center for Army Analysis and presents a case study that illustrates how modeling can be used to evaluate various courses of action and sup-port decision making. When preparing to execute a NEO, decision makers use simulation modeling and analysis to evaluate evacuation timelines, allocate resources and lift assets, select safe haven locations, and determine support requirements for evacuees.

Krahl David. ExtendSim 9. // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.4065-4072.
Release 9 is a significant upgrade to the ExtendSim simulation application and includes a number of features that enhance the modeling experience for new and experienced modelers. In addition, this paper re-views the overall ExtendSim architecture and corporate philosophy.

Kravchenko Volodymyr. Discrete-event simulation of production and sales processes in a company // International Journal of Economics, Commerce and Management. United Kingdom. Vol. I, Issue 2, 2013.

Kulkarni Niranjan S., Niranjan Suman. Multi-echelon network optimization of pharmaceutical cold chains: a simulation study // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3486-3498.
This paper studies a typical cold chain and costs associated with a typical multi-echelon network under stochastic demand and probabilistic information handoff conditions. Dynamic equations are developed for individual nodes. A DOE is also proposed to understand sensitivity of key factors on costs. A simulation based optimization approach is adopted for the study.

Kuramoto Kensuke, Furuichi Masakazu. FUSE: a multi-agent simulation environment // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3982-3983.
We propose a new integrated multi-agent simulation environment «FUSE» which is designed for hierarchical organization behavior modeling. Recently, multi-agent simulations are getting more important in many fields such as planning of a large-scale disaster evacuation and military operations. Since such simulations are characterized that they are composed of multiple of heterogeneous organizations, and the number of agents is very large, we have to provide an effective and efficient simulation environment.

Labban Ramzi, AbouRizk Simaan, Haddad Zuhair, Elsersy Amr. A discrete event simulation model of asphalt paving operations // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3215-3224.
This paper describes the building of an asphalt paving simulator, as an example of the rigor and effort required in developing construction simulation models, and then briefly describes an alternative model building method currently being researched which may potentially make it easier and faster for stakeholders to quickly build simulation models on construction projects.

Lantsev Y.A., Dorrer M.G. Creating agent-based model from the business process discrete-event model // Научно-технические ведомости СПбГПУ, № 3 (174), 2013, с.44-52.
In this paper the technique for translating model in eEPC notation into AnyLogic agent-based simulation model are proposed and developed. Performed an experiment of translating model in eEPC notation into Anylogic agent-based simulation model based on the developed algorithm. The results can be used by analysts to reduce simulation models designing and implementing time, and simplifying the exploitation process.

Law Averill M. A tutorial on how to select simulation input probability distributions // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.306-320.
An important, but often neglected, part of any sound simulation study is that of modeling each source of system randomness by an appropriate probability distribution. We first give some examples of data sets from real-world simulation studies, which is followed by a discussion of two critical pitfalls in simulation input modeling. The two major methods for modeling a source of randomness when corresponding data are available are delineated, namely, fitting a theoretical probability distribution to the data and the use of an empirical distribution. We then give a three-activity approach for choosing the theoretical distribution that best represents a set of observed data.

Lee Hae Young. Elapsed-time-sensitive DEVS for model checking // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3998-3999.
This paper presents a sub-class of DEVS, called elapsed-time-sensitive DEVS (ES-DEVS). In order to provide a more convenient and intuitive way to build simulation models for timed systems, conditions on elapsed times are imposed on state transitions caused by input events. While still verifiable, ES-DEVS is more expressive than finite and deterministic DEVS that is another verifiable and deterministic class of DEVS. ES-DEVS models could be exhaustively verified based on reachability analysis techniques.

Lee Hae Young, Kim Hyung-Jong. Size measurement of DEVS models for SBA effectiveness evaluation // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.4000-4001.

Lee M., Kim S., Kim C-O, Park T. (2013). An Agent-Based Competitive Product Diffusion Model for the Estimation and Sensitivity Analysis of Social Network Structure and Purchase Time Distribution // Journal of Artificial Societies and Social Simulation, 16 (1): 3.

Lee T., Yao R. (2013). Incorporating technology buying behaviour into UK-based long term domestic stock energy models to provide improved policy analysis // Energy Policy, 52, pp.63–72.
This paper presents a comprehensive review of existing models and modelling techniques and indicates how they might be improved by considering individual buying behaviour.

Legato Pasquale, Mazza Rina Mary. Managing container reshuffling in vessel loading by simulation // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3450-3461.
To support the work of terminal planners, we propose a simulation model that returns an accurate estimate of the number of reshuffles required with respect to a given loading sequence plan and a given yard configuration. The simulation model accounts for great details on operations under stochastic conditions. The estimates returned do not deteriorate as the dimension and complexity of the problem grow. Numerical experiments carried out for a real container terminal show how the model may easily support the planners in their daily job.

Lemos C., Coelho H., Lopes R.J. (2013). Agent-based modeling of social conflict, civil violence and revolution: State-of-the-art-review and further prospects // CEUR Workshop Proceedings, 1113, 124-138.

Liebler Klaus, Beissert Ulrike, Motta Marco, Wagenitz Axel. Introduction OTD-NET and LAS: order-to-delivery network simulation and decision support systems in complex production and logistics networks // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.439-451.
Order-to-Delivery Network simulation (OTD-NET) offers a simulation based approach for gaining insight in global networks. The OTD-NET suite provides services for modelling, simulating and analyzing complete logistic networks including the specifics of the different network participants like suppliers or producers. OTD-NET is developed by Fraunhofer Institute for Material Flow and Logistics in Dortmund (Germany). Within the paper OTD-NET is presented and exemplarily demonstrated by a joint project with Volkswagen.

Lisin E.M., Strielkowski W., Grigoryeva A.N., Anisimova I.A. Modern approaches to modelling electricity markets and research of influence of market forces the situation on energy market // Вектор науки ТГУ. № 1(23), 2013. P.188-197.
The article discusses classical and modern approaches to the modeling of markets based on the use of models of oligopoly and agent-oriented modeling techniques. Attention is paid to the influence of market power generating companies to the market conditions. Results of the study are considered in relation to the wholesale electricity market platform WPMP (Wholesale Power Market Platform, USA in 2003) as a template for all of American wholesale electricity markets.

Liu C., Sibly R.M., Grimm V., Thorbek P. (2013). Linking pesticide exposure and spatial dynamics: an individual-based model of wood mouse (Apodemus sylvaticus) populations in agricultural landscapes // Ecological Modelling, 248, 92-102.

Lin Kin, Marcus Steven I. Cumulative weighting optimization: the discrete case // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.992-1003.
Using this rigorous theoretical foundation, we design a Cumulative Weighting Optimization (CWO)-based numerical algorithm for solving global optimization problems. Interestingly, the well-known cross-entropy method is a special case of this CWO-based algorithm.

Liu Elvis S., Theodoropoulos Georgios K. An analysis of parallel interest matching algorithms in distributed virtual environments // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.2889-2901.
In this paper, a parallel approach for interest matching is presented which is suitable to deploy on both shared-memory and distributed-memory multiprocessors. We also provide an analysis of speed-up and efficiency for the simulation results of the parallel algorithms.

Liu Jason. Real-time scheduling of logical processes for parallel discrete-event simulation // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.2959-2971.
We tackle the problem of scheduling logical processes that can significantly affect the performance of running parallel simulation either in real time or proportional to real time. We propose an event delivery mechanism for the parallel simulator to incorporate emulated events originated from the physical system. We augment the parallel simulation API to support emulation capabilities independent from a particular simulation domain. Preliminary experiments demonstrate the our simulator’s real-time performance on high-performance computing platforms.

Lovlid Rikke Amilde, Alstad Anders, Mevassvik Ole Martin, de Reus Nico, Henderson Henk, van der Vecht Bob, Luik Torec. Two approaches to developing a multi-agent system for battle command simulation // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1491-1502.
This paper presents and compares our devel-opment approaches and agent modeling paradigms.

Lutzenberger Marco, Albayrak Sahin. Can you simulate traffic psychology? An analysis // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1539-1550.
Contemporary traffic simulation frameworks use sophisticated physical- or mathematical models to «mimic» traffic systems in a lifelike fashion. We explain driver behavior from a psychological perspective and analyze the most important (psychological) driver behavior conceptualizations in order to identify crucial factors of human traffic behavior. Based on this analysis we examine the ability of state-of-the-art traffic simulation to account for these factors.

Ma Y., Shen Z., Kawakami M. (2013). Agent-Based Simulation of Residential Promoting Policy Effects on Downtown Revitalization // Journal of Artificial Societies and Social Simulation (JASSS), 16 (2): 2.

Machalek T., Cimler R., Olsevicova K., Danielisova A. (2013) Fuzzy Methods in Land Use Modeling for Archaeology. In: Proc. of 31st International Conference on Mathematical Methods in Economics 2013, Jihlava, part II, pp. 552–557.

Malik A.A., Crooks A.T., Root H.L. (2013). Can Pakistan have Creative Cities? An Agent Based Modeling Approach with Preliminary Application to Karachi // Pakistan Strategy Support Program Working Paper 13, International Food Policy Research Institute (IFPRI), Washington, D.C.

Manzo G. (2013). Educational Choices and Social Interactions: A Formal Model and A Computational Test // Comparative Social Research, 30, pp.47-100.

Martin B.T., Jager T., Preuss T., Nisbet R., Grimm V. (2013). Predicting population dynamics from the properties of individuals: a test of Dynamic Energy Budget theory // American Naturalist 18(4), pp.506-519.

Mas E., Adriano B., Koshimura S. (2013). An Integrated Simulation of Tsunami Hazard and Human Evacuation in La Punta, Peru // Journal of Disaster Research, 8(2), pp.285-295.

Matusevich D.S. Using resampling to simulate queuing systems // Известия Иркутской государственной экономической академии (электронный журнал) / Байкальский государственный университет экономики и права, 2013.
The author considers using resampling to simulate queuing, and analyzes the quality of resampling-based simulation mechanisms.

McLean Charles, Shao Guodong. Simulation of shipbuilding operations // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.870-876..
This paper discusses the objectives and requirements for a shipbuilding simulation. It presents an overview of a generic simulation of shipbuilding operations. The shipbuilding simulation model can be used as a tool to analyze the schedule impact of new workload, evaluate production scenarios, and identify resource problems. The simulation helps identify resource constraints and conflicts between competing jobs. The simulation can be used to show expected results of inserting new technologies or equipment into the shipyard, particularly with respect to operating costs and schedule impact.

Merrick Jason R.W. Aggregation of forecasts from multiple simulation models // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.533-542.
We propose a Bayesian method for aggregating forecasts from multiple simulation models. We demonstrate the approach using a climate change example, an area often informed by multiple simulation models.

Mikov A., Zamyatina E., Kozlov A., Ermakov S. Some Problems of the Simulation Model Efficiency and Flexibility // Proceedings of 8th EUROSIM Congress on Modelling and Simulation EUROSIM 2013», Cardiff, Wales, United Kingdom. 2013. P. 532-538.

Milev, A., S. Vasileva. Modelling of Centralized Two-Phase Locking With Integrated Mechanism of Timestamps by the «Wait – Die» Method. // Association Scientific and Applied Research International Journal, Vol. 4, July 2013, p. 66. URL: link.

Minh Nguyen Dang, Toan Nguyen Dang. Upsizing manufacturing line in vietnamese industrial plants: a simulation approach // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1835-1846.
The main purpose of this research is to propose a new perspective of a simulation study in Vietnamese industry from an empirical point of view to implement the framework for designing a manufacturing line. The second purpose is to introduce the method and analytical procedures of modifying a CML utilized by a linear programming model for selecting. The proposed method was applied in an actual design project to confirm the feasibility of the framework.

Mitrea O. System dynamics modeling of intelligent transportation systems human and social requirements for the construction of dynamic hypothese // Selected Topics in Nonlinear Dynamics and Theoretical Electrical Engineering, Springer, 2013, pp. 211–226.

Mittal Saurabh, Martín Jose Luis Risco. Model-driven systems engineering for netcentric system of systems with DEVS unified process // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1140-1151.
We describe essential elements in DEVS Unified Process (DUNIP) that facilitate integration with architecture solutions like Service Oriented Architecture, Event Driven Architectures, Systems Entity Structures ontology, and frameworks like Department of Defense Architecture Framework. We discuss systems requirement specifications, verification and validation, metamodeling, Domain Specific Languages), and model transformation technologies as applicable in DUNIP. In this article, we discuss the features and contributions of DUNIP in netcentric system of systems engineering.

Mocarzel Bruno, Shelton David, Uyan Berkcan, Perez Eduardo, Jimenez Jesus A., DePagter Lenore. Modeling and simulation of patient admission services in a multi-specialty outpatient clinic // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.2309-2319.
In this paper, we describe a simulation model for an outpatient healthcare clinic facing multiple issues related to patient admission and resource workflow. The main problems identified at the clinic are: 1) phones are not answered promptly and 2) patients experience long wait time to check in and check out. We investigate different resource allocation policies and report on computational results based on a real clinic, historical data, and both patient and management performance measures.

Montanola-Sales Cristina, Casanovas-Garcia Josep, Cela-Espin Jose Maria, Kaplan-Marcusan Badriana, Onggo B.S.S. Parallel simulation of large population dynamics // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3926-3927.
Agent-based modeling and simulation is a promising methodology that can be used in the study of population dynamics. We present the design and development of a simulation tool which provides basic support for modeling and simulating agent-based demographic systems. Our results prove that agent-based modeling can work effectively in the study of demographic scenarios which can help to better policy planning and analysis.

Montevechi Jose Arnaldo Barra, Leal Fabiano, Miranda Rafael de Carvalho, Pereira Tabata Fernandes. Interactive learning of modeling and discrete-events simulation through LEGO parts // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3556-3567.
This paper has the objective to develop and evaluate an educational dynamic project for discrete event simulation courses, which are capable of developing the student’s ability to perform abstraction and representation of real systems in a conceptual and computational model. To meet this objective, Lego was used in the educational dynamic. For the evaluation of the motivation presented by the students in the dynamic. The results demonstrate that the dynamic reached its objective, presenting a high utilization in the motivational criteria analyzed.

Morrice Douglas, Wang Dongyang (Ester), Bard Jonathan, Leykum Luci, Noorily Susan. A simulation analysis of a patient-centered surgical home to improve outpatient surgical processes of care and outcomes // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.2274-2286.
The process of preparing patients for outpatient surgery is information intensive. However, medical records are often fragmented among different providers and systems. As a result, the preoperative assessment process is frequently prolonged by missing information, potentially leading to surgery delay or cancellation. In this study, we simulate an anesthesiology pre-operative assessment clinic to quantify the impact of patient information deficiency and to assist in the development of a patient-centered surgical home to mitigate this problem through better system-wide coordination.

Mostafavi Ali. Integrated policy simulation in complex system-of-systems // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.4004-4005.
This study presents an integrated framework for evaluation of different policy scenarios in complex Sys-tem-of-Systems.

Mota Daniel de Oliveira, Pereira Newton Narciso, Botter Rui Carlos, Medina Afonso Celso. Physical objects on navigation channal simulation models // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3475-3485.
This paper presents the results of a simulation using physical objects. This concept integrates the physical dimensions of an entity such as length, width, and weight, with the usual process flow paradigm, recurrent in the discrete event simulation models. Based on a naval logistics system, we applied this technique in an access channel of the largest port of Latin America. This system is composed by vessel movement constrained by the access channel dimensions. The success delivered by the methodology proposed was an accurate validation of the model, approximately 0.45% of deviation, when compared to real data.

Mukherjee Atanu, Som Arindam, Adak Arnab. Reducing wagon turnaround times by redesigning the outbound dispatch operations of a steel plant // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3499-3509.
This paper presents how reengineering of the dispatch operations using simulation helped in reducing the Wagon Turnaround Times to the desired level. Our approach was to use a flexible push-pull based dispatch scheduling instead of the current pull and wait model. Our recommendations included decoupling railways operations from the internal mills there-by avoiding wagon set breaks and reassembly, investing in optimum number of captive locomotives and wagon sets, scheduling mechanism for captive locomotives, creation of an intermediate storage to stack products according to dispatch schedules and ensuring just-in-time material availability for dispatch.

Muller Dan. AutoMod – modeling complex manufacturing, distribution, and logisitics systems for over 30 years // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.4037-4051.
The AutoMod product suite from Applied Materials has been used on thousands of projects to help engineers and managers make the best decisions possible. AutoMod supports hierarchical model construction. This architecture allows users to reuse model components in other models, decreasing the time required to build a model. In addition, recent enhancements to AutoMod’s material handling template systems have in-creased modeling accuracy and ease-of-use. These latest advances have helped make AutoMod one of the most widely used simulation software packages.

Murray-Rust D., Rieser V., Robinson D.T., Milicic V., Rounsevell M. (2013). Agent-based modelling of land use dynamics and residential quality of life for future scenarios // Environmental Modelling & Software, 46, 75-89. DOI : 10.1016/j.envsoft.2013.02.011.

Muscalagiu I., Illes C., Popa H.E. (2013). Large Scale Multi-Agent-Based Simulation using NetLogo for the multi-robot exploration problem // In IEEE 11th International Conference on Industrial Informatics, Bochum, Germany, pp. 225-230.

Muscalagiu I., Popa H.E., Vidal J. (2013). Clustered Computing with NetLogo for the evaluation of asynchronous search techniques // In proceedings of 12th IEEE International Conference on Intelligent Software Methodologies, Tools and Techniques (SOMET 2013) (pp. 115-120). Budapest.

Muscalagiu I., Popa H.E., Vidal J. (2013). Large Scale Multi-Agent-Based Simulation using NetLogo for implementation and evaluation of the distributed constraints // In proceedings of IJCAI – DCR 2013, 23rd International Joint Conference on Artificial Intelligence – Workshop on Distributed Constraint Reasoning, Beijing.