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.

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.

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 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.

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.

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.

Nageshwaraniyer Sai Srinivas, Son Young-Jun, Dessureault Sean. Simulation-based robust optimization for complex truck-shovel systems in surface coal mines // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3522-3532.
A robust simulation-based optimization approach is proposed for truck-shovel systems in surface coal mines to maximize the expected value of revenue obtained from customer trains. To this end, a large surface coal mine in North America is considered as case study, and a highly detailed simulation model of that mine is constructed in Arena.

Nageshwaraniyer Sai Srinivas, Son Young-Jun, Dessureault Sean. Simulation-based robust optimization for complex truck-shovel systems in surface coal mines // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3522-3532.
A robust simulation-based optimization approach is proposed for truck-shovel systems in surface coal mines to maximize the expected value of revenue obtained from customer trains. To this end, a large surface coal mine in North America is considered as case study, and a highly detailed simulation model of that mine is constructed in Arena.

Nance Richard E., Sargent Robert G., Wilson James R. A retrospective oral history of computer simulation: progress report // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.252-257.
The primary objective of the project titled «A Retrospective Oral History of Computer Simulation» is to document the emergence of computer simulation since World War II. We seek to capture the early history of the field through digital videos of interviews with the pioneers whose seminal contributions have had long-lasting impacts on simulation practice and theory.

Netto Joao Ferreira, Botter Rui Carlos. Simulation model for container fleet sizing on dedicated route // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3385-3394.
This work presents a simulation model to dimension the quantity of containers required to operate with a ship fleet that attends determined route (in closed loop), and at the same time considers the loading operations of empty containers with customers, on land. It is presented a process of searching for better solutions provides results that minimize container fleet at its disposal.

Newman S.D., Soylu F. (2013). The impact of finger counting habits on arithmetic in adults and children // Psychological research, 1-8.

Nordgren Bill. FlexSim: focusing on problem solving // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.4024.

Okazawa Stephen. A discrete event simulation environment tailored to the needs of military human resources management // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.2784-2795.
The management of military human resources (HR) is a complex problem. Discrete event models of military HR systems are used by the Canadian Department of National Defence to provide military decision makers with greater knowledge of the outcome of possible courses of action. This paper presents a novel discrete event simulation environment being developed by Defence Research and Development Canada called “Right Person, Right Qualification, Right Place, Right Time Human Resources” which is tailored to the particular needs of military HR modeling and simulation.

Olsen Megan, Raunak Mohammad. A framework for simulation validation coverage // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1569-1580.
We propose a validation coverage metric to quantify the validation performed on a simulation model based on the possible validation that could be performed on it. This metric takes into account the aspects of the simulation model that should be validated. To show how such a metric could be utilized, we propose a version of the metric specific to agent-based models, and analyze three example models. We find that the coverage metric can be used to quantify validation on a variety of simulation models.

Olsevicova K., Cimler R., Machalek T. (2012) Agent-based Model of Celtic Population Growth: NetLogo and Python. In: N.T. Nguyen et al. (Eds.) Advanced Methods for Computational Collective Intelligence, Studies in Computational Intelligence 457, Springer-Verlag Berlin Heidelberg 2013, pp. 135–143.

Ozik Jonathan, Collier Nicholson T., Murphy John T., North Michael J. The ReLogo agent-based modeling language // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1560-1568.
ReLogo is a new agent-based modeling (ABM) domain specific language for developing agent based models in the free and open source Repast Suite of ABM tools. This paper will present how ReLogo combines a number of concepts, including object-oriented programming, simple integration of existing code libraries, statically and dynamically typed languages, domain specific languages, and the use of integrated development environments, to create an ABM tool that is easy to learn yet is also capable of creating large scale ABMs of real world complex systems.

Ozmen Ozgur, Smith Jeffrey, Yilmaz Levent. An agent-based simulation study of a complex adaptive collaboration network // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.412-423.
In this tutorial, using agent-based modeling approach, a complex adaptive social communication network model is introduced. The objective is to present the underlying dynamics of the system in a form of computer simulation that enables analyzing the impacts of various mechanisms on network topologies and emergent behaviors. The ultimate goal is to further our understanding of the dynamics in the system and facilitate developing informed policies for decision-makers.

Paddrik Mark E., Learmonth Gerard P. Regulatory management of distressed financial markets using 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.125-135.
This paper looks at the effect of information on keeping the markets liquid and at potential strategies to protect markets from illiquidity failure. It considers how the three main government controlled market influences: interest rate targeting, ‘information’ regulation, and market making can affect market stability.

Park Sang C., Ahn Euikoog, Chung Yongho, Yang Ka-ram, Kim Byung H., Seo Jeong C. FAB simulation with recipe arrangement of tools // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3840-3849.
Presented in this paper is a FAB simulation framework considering the recipe arrangement problem of FAB tools. It is known that the WIP fluctuation is mainly caused by improper dispatching rules. Practical point of view, however, there is another cause of the WIP imbalance. We call the problem as a «recipe arrange problem of tools».

Passos G.F., Chamovitz I. (2013). Modelo De Responsabilidade Organizacional, Aplicado Em Empresa Pública De Tecnologia Da Informação E Fundamentado Em Dinâmica De Sistemas // In: IX Congresso Nacional de Excelência em Gestão – CNEG 2013, 2013, Rio de Janeiro – RJ.

Passos G.F., Chamovitz I., Theodoulidis B. (2013). Organizational Responsibility Model: Dealing with Demand for Services Higher Than Installed Capacity // In: Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on. IEEE, 2013. p. 4415-4420.

Peckham R. (2013). Economies of contagion: Financial crisis and pandemic // Economy and Society, 42, 2, 226-248. DOI: 10.1080/03085147.2012.718626.

Pehlivan Canan, Augusto Vincent, Xie Xiaolan. Admission control in a pure loss healthcare network: MDP and DES 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.54-65.
This paper considers admission control policies in a pure-loss hierarchical perinatal network where there are 2 parallel multi-server (target) hospitals fed by new arriving patients and overflowed patients from a set of parallel multi-server hospitals. In this perinatal network setting, we consider the problem of finding an optimal admission policy that recommends how many beds to reserve in two target hospitals for each arriving stream in order to maximize total revenue in the system.

Pennisi, Marzio; Rajput, Abdul-Mateen; Pappalardo, Francesco; Toldo, Luca Pennisi, M.; Rajput, A.; Toldo, L.; Pappalardo, F. (2013). Agent based modeling of Treg-Teff cross regulation in relapsing-remitting multiple sclerosis // Bio Med Central.

Persson Fredrik, Erlandsson Daniel, Larsson Alexander, Johansson Maria. Solving location problems with simulation modelling – a case from the construction 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.3363-3374.
Location problems are often solved by means of optimization. Simulation is often used to test the feasibility of an optimal solution after that the optimal solution is obtained. The test by simulation is done with more dynamic circumstances, introducing stochastic behavior. This research proposes to solve location problems directly in a simulation model, combining an optimization algorithm within the simulation model, thus providing solutions that are optimized in a stochastic and dynamic environment. The location problem is modeled in Arena and solved with OptQuest.

Pinacho P., Pau I., Chacon M., Sánchez S. (2013). An ecological approach to anomaly detection: The EIA model // Artifical Immune Systems: Lecture Notes in Computer Science, Vol. 7597, 2012.

Pontoppidan M.B., Nachman G. (2013). Changes in behavioural responses to infrastructure affect local and regional connectivity – A simulation study on pond breeding amphibians // Nature Conservation, 5, 13-28. doi: 10.3897/natureconservation.5.4611.

Pontoppidan M.B., Nachman G. (2013). Effects of within-patch heterogeneity on connectivity in pond-breeding amphibians studied by means of an individual-based model // Web Ecol., 13, 21-29, doi:10.5194/we-13-21-2013.

Pontoppidan M.B., Nachman G. (2013). Spatial Amphibian Impact Assessment – A management tool for assessment of road effects on regional populations of Moor frogs (Rana arvalis) // Nature Conservation, 5, 29-52. doi: 10.3897/natureconservation.5.4612.

Rahm Tobias, Duhme Ruben, Sadri Kambiz, Thewes Markus, Konig Markus. Uncertainty modeling and simulation of tool wear in mechanized tunneling // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3121-3132.
The authors present an approach based on Fuzzy Logic to integrate the performance related influence of wear of cutting tools on the advance rate. The approach is described in detail and demonstrated by an artificial example. Simulation experiments were performed to illustrate the influence of wear on the advance rate in the context of disturbances. This innovative approach to consider such an essential performance factor is another step towards a holistic simulation model of mechanized tunneling projects.

Rai Sudhendu, Ettam Ranjit Kumar. Simulation-based optimization using simulated annealing for optimal equipment selection within print production 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.1097-1108.
This paper describes the addition of another layer of automation consisting of simulation-based optimization using simulated-annealing that enables automated search of a large number of design alternatives in the presence of operational constraints to determine a cost-optimal solution. The results of the application of this approach to a real-world problem are also described.

Ramirez-Nafarrate Adrian, Gutierrez-Garcia J. Octavio. An agent-based simulation framework to analyze the prevalence of child obesity // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.2330-2339.
Child obesity is a public health problem that is of concern of several countries around the world. Long-term effects of child obesity include prevalence of chronic diseases, such as diabetes and heart-related illnesses. This paper presents an agent-based simulation framework to analyze the evolution of obesity in school-age children. In particular, in this paper we evaluate the impact of physical activity on the prevalence of child obesity using an agent-based simulation model. Simulation results suggest that the fraction of overweight and obese children at the end of elementary school can be reduced by doing physical activity with moderate intensity.

Rashwan Wael, Ragab Mohamed AF, Abo-Hamad Waleed, Arisha Amr. Bed blockage in irish hospitals: system dynamics methodology // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3984-3985.
This study uses System Dynamics methodology to address the bed blockage in the Irish healthcare hospitals that results from elderly patients delay in discharge. The developed system dynamic model helped decision makers to envisage the problem complexity. Stock and flow intervention policies are proposed and evaluated subject to the projected future demographic changes. The model enables policy makers to identify potential strategic policies that will contribute significantly to overcome the delayed discharge for elderly patients.

Ratamero E.M. (2013). Modelling Peloton Dynamics in Competitive Cycling: A Quantitative Approach // In Sports Science Research and Technology Support (pp. 42-56). Springer International Publishing. (DOI 10.1007/978-3-319-17548-5_4).

Rebaudo F., Le Rouzic A., Dupas S., Silvain J.-F., Harry M., Dangles O. SimAdapt: an individual-based genetic model for simulating landscape management impacts on populations // Methods Ecol. Evol. 2013. V. 4. P. 595–600.

Roman B. (2013). An Agent-based Model for the Humanities // Digital Humanities Quarterly, 7 (1).

Ryan Jason C. Validation of an agent-based model of aircraft carrier flight deck 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.3942-3943.
In this paper we discuss the validation of an agent-based model of aircraft carrier flight deck operations.

Santhanam Pravin, Santhanam Hema. Managing patient flow at a new york city federally qualified health center // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3996-3997.
Using actual de-identified patient data from an Electronic Medical Record system for one year, we model the clinic operations by day of the week and by three types of patient populations via discrete event simulation. Detailed simulation shows that the primary reason for long waiting times could be inadequate time allotted for appointments. Even a five-minute increase in the appointment duration times resulted in significant increases in provider utilization rates and patient waiting times. These results support the observation that due to the unique patient demographics, providers tend to address multiple needs of the patients in each visit, often exceeding the allotted appointment durations.

Sanz Victorino, Urquia Alfonso. An Approach to Cellular Automata Modeling in Modelica // 5th International Workshop on Equation-Based Object-Oriented Modeling Languages and Tools. 19 April, 2013, University of Nottingham, UK. P.121-130.
A new Modelica library, named CellularPDEVS, is introduced in this manuscript. This new library facilitates the description of one- and two-dimensional Cellular Automata (CA) models in Modelica.

Sargent Robert G. An introduction to verification and validation of 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.321-327.
Model verification and validation are defined, and why model verification and validation are important is discussed. The three approaches to deciding model validity are described. A graphical paradigm that shows how verification and validation are related to the model development process and a flowchart that shows how verification and validation is part of the model development process are presented and discussed. A recommended procedure for verification and validation is given.

Schriber Thomas J., Brunner Daniel T., Smith Jeffrey S. Inside discrete-event simulation software: how it works and why it matters // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.424-438.
This paper provides simulation practitioners and consumers with a grounding in how discrete-event simulation software works. Topics include discrete-event systems; entities, resources, control elements and operations; simulation runs; entity states; entity lists; and their management. The implementations of these generic ideas in AutoMod, SLX, ExtendSim, and Simio are described. The paper concludes with several examples of “why it matters” for modelers to know how their simulation software works, including discussion of AutoMod, SLX, ExtendSim, Simio, Arena, ProModel, and GPSS/H.

Schruben Lee. Simulation modeling, experimenting, analysis, and implementation // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.678-690.
This paper demonstrates advantages of combining these activities in the context of system performance optimization. Simulation optimization algorithms can be improved by exploiting the ability to observe and change literally anything at any time while a simulation is running. It is also not necessary to stop simulating candidates for the optimal system before starting to simulate others. The ability to observe and change many concurrently running simulated systems considerably expands the possibilities for designing simulation experiments.

Serova Elena The Role of Agent Based Modelling in the Design of Management Decision Processes // ISSN 1566-6379 71. Academic Publishing International Ltd. The Electronic Journal Information Systems Evaluation Volume 16 Issue 1 2013, (71-80).
Agent based modelling (ABM) is a new modelling paradigm and one of the most advanced practical developments in modelling. ABM promises to have far-reaching effects on the way that business practitioners and academic researchers use information communication technologies to support decision making at different levels of management. Modern design models and architectural structures are opening up new possibilities and new application areas are coming to the foreground. Multi-agent systems as systems of distributed artificial intelligence are now having a significant influence on information systems design, simulation and analysis. This paper focuses on the various modelling methods and technologies that are employed in the development of intelligent decision support systems. Its goal is to evaluate the role of the agent based modelling in the design of management decision processes. The paper considers the main features of intellectual agent modelling methodology, and discusses the different types modelling categorization. It does so from research base that draws from theoretical underpinnings as well as international and domestic industry practices. The basic principles of agent-based modelling are first introduced and areas of application are then discussed from perspective of real-world applications: flow simulation, organizational simulation, market simulation, and diffusion simulation. The classification of modelling types is discussed, together with and business application simulation frameworks.

Shamsuddoha Mohammad, Quaddus Mohammed, Klass Desmond. A system dynamics approach for poultry operation to achieve additional benefits // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1824-1834.
In this paper, we present a poultry model grounded on system dynamics to determine the interaction among factors in the system using a software package Vensim. A case poultry industy in the city of Chittagong, Bangladesh was selected to conduct the study. The objectives of this paper are twofold. First, it develops a qualitative model on poultry operation. Second, it constructs a simulation model to explore possible opportunities available by recycling poultry wastes within the same poultry operation.

Shiba N. (2013). Analysis of Asymmetric Two-Sided Matching: Agent-Based Simulation with Theorem-Proof Approach // Journal of Artificial Societies and Social Simulation (JASSS), 16 (3): 11. (June 2013).

Shook E.; Wang S.; Tang W. (2013). A communication-aware framework for parallel spatially explicit agent-based models // International Journal of Geographical Information Science. Taylor & Francis. 27 (11): 2160–2181. doi:10.1080/13658816.2013.771740.

Squazzoni F. Gandelli C. (2013). Opening the Black-Box of Peer Review: An Agent-Based Model of Scientist Behaviour // Journal of Artificial Societies and Social Simulation (JASSS), 16 (2): 3.

Stahl Ingolf, Born Richard G., Herper Henry. Teaching simulation to ten thousand students american-european cooperation and perspectives // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3576-3587.
This paper deals with the cooperation between three European and American simulation teachers, who together have taught simulation to over ten thousand students in five countries. They have, based on student feedback, developed an educational version of GPSS, the General Purpose Simulation System. This simplified system, aGPSS, has proved to be very easy to learn and also to use, for example, in student projects. The three teachers have also together written simulation textbooks in English and German.

Steinmann Guilherme, Filho Paulo Jose de Freitas. Using simulation to evaluate call forecasting algorithms for inbound call center // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1132-1139.
This article shows how simulation can be of use to generate data that can be used to evaluate incoming call forecasting algorithms.

David T. Sturrock Tutorial: tips for successful practice of simulation // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M. E. Kuhl, eds. P.354-361.
A simulation project is much more than building a model and the skills required for success go well beyond knowing a particular simulation tool. A 30 year veteran discusses some important steps to enable project success and some cautions and tips to help avoid common traps. This content is similar to presentations given at previous WSC conferences.

Szilagyi M.N. (2013). Determination of the potential distribution of electron optical systems by agent-based simulation // Optik 124, pp.3451-3452.

Taylor Simon J. E., Brailsford Sallym, Chick Stephen E., L’Ecuyer Pierre, Macal Charles M., Nelson Barry L. Modeling and simulation grand challenges: an OR/MS perspective // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1269-1282.
this paper presents M&S Grand Challenges from an Operational Research/Management Science (OR/MS) perspective and discusses themes including simulation in healthcare, value of information, data modeling, stochastic modeling and optimization, agent-based simulation and simulation analytics.

Tejada Jeremy J., Ivy Julie S., Wilson James R., King Russell E., Ballan Matthew J., Kay Michael G., Diehl Kathleen, Yankaskas Bonnie C. Combined des/sd simulaton model of breast cancer screening for older women: an overview // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.41-53.
We develop a simulation modeling framework for evaluating the effectiveness of breast cancer screening policies for US women of age 65+. We introduce a two-phase simulation approach to modeling the main components in the breast cancer screening process.

Renee M. Thiesing, C. Dennis Pegden Introduction to SIMIO // In «Pro-ceedings of the 2013 Winter Simulation Conference», edited by R.Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M. E. Kuhl, eds P.4052-4061. USA.
This paper describes the Simio modeling system that is designed to simplify model building by promoting a modeling paradigm shift from the process orientation to an object orientation. Simio is a simulation modeling framework based on intelligent objects. The intelligent objects are built by modelers and then may be reused in multiple modeling projects. Although the Simio frame-work is focused on object-based modeling, it also supports a seamless use of multiple modeling paradigms including event, process, object, systems dynamics, agent-based modeling, and Risk-based Planning and scheduling.

Thiesing Renee M., Pegden C. Dennis. Recent innovations in SIMIO // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.4073-4084.
This paper briefly describes Simio simulation software, a simulation modeling framework based on intelligent objects. It then describes a few of the many recent enhancements and innovations including SMORE charts that allow unprecedented insight into your simulation output, sophisticated built-in experimentation that incorporates multi-processor support, optimization, and Risk-based Planning and Scheduling.

Thompson James R., Wilson James R. Multifractal analysis of agent-based financial markets // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M. E.Kuhl, eds. – Washington, USA. – P.1383-1394.
To analyze financial time series exhibiting volatility clustering, long-range dependence, or heavy-tailed marginals, we exploit multifractal analysis and agent-based simulation. We develop a robust, automated software tool for extracting the multifractal spectrum of a time series based on multifractal detrended fluctuation analysis. The software is tested on simulated data with closed-form monofractal and multifractal spectra to ensure the quality of our implementation.

Tisue S., Wilensky U. (2004, updated 2013). NetLogo: Design and implementation of a multi-agent modeling environment // In Proceedings of the Agent 2004 Conference on Social Dynamics: Interaction, Reflexivity and Emergence, Chicago, Illinois, October 2004.
In this paper, we focus on NetLogo as a tool for research and for teaching at the undergraduate level and higher. We outline the principles behind our design and describe recent and planned enhancements.

Tjahjono Benny, Teixeira Evandro Leonardo Silva, Alfaro Sadek Crisóstomo Absi. An online simulation to link asset condition monitoring and operations decisions in through-life engineering services // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.159-168.
This paper presents an online simulation framework that can be used to support operational decisions within the context of Through-life Engineering Services. Acting as a closed-loop feedback control mechanism, the simulation model is physically coupled to the assets and will be triggered and automatically executed to assess a set of operational decisions related to maintenance scheduling, resource allocation, spare parts inventory etc.

Tomasini M., Zambonelli F., Menezes R. (2013). Using patterns of social dynamics in the design of social networks of sensors // Green Computing and Communications (GreenCom), IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing.

Tomasini M., et al. (2013). Evaluating the Performance of Social Networks of Sensors under Different Mobility Models // Social Computing (SocialCom), International Conference on. IEEE.

Trouille L., Beheshti E., Horn M., Jona K., Kalogera V., Weintrop D., & Wilensky U. (2013). Bringing Computational Thinking into the High School Science and Math Classroom. In American Astronomical Society, AAS Meeting #221, #201.09.

Tseng Shih-Hsien, Allen Theodore T. A magic number versus trickle down agent-based model of tax policy // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M. E.Kuhl, eds. – Washington, USA. – P.1407-1418.
The purpose of this article is to explore the interaction of two opposing forces. The forces of wealth accumulation in sturring job creation and the force of satisfaction and the «magic number» in causing job destruction are explored. An agent based model is proposed to explore the potentially competing effects of two hypothesized economic forces. The first is «trickle down» economics in which job creation occurs when wealth accumulates. The second is the «magic number» effect in which retirement occurs when wealth accumulates.

Umeda Shigeki. Simulation analysis of supply chain systems with reverse logistics // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3375-3384.
This paper proposes methodologies of simulation modeling and analysis of supply chain systems with reverse logistics flows. This paper discusses two types of reverse supply chain: PUSH-type reverse logistics and PULL-type reverse logistics. Generic models are introduced and analysis examples of individual features will be provided.

Vasileva, S. An algorithm modelling centralized two-phase locking with integrated mechanism of timestamps. // Journal of the Technical University Sofia, branch Plovdiv «Fundamental Sciences and Applications», Vol. 19(1), International Conference Engineering, Technologies and Systems TechSys 2013, pp.237-242, (In Bulgaria). Available at: link.

Vasileva, S., L. Gotcev An Algorithm Modelling Primary Copy Two-Phase Locking with Integrated Mechanism of Timestamps. // Proceedings of the 14th International Conference on Computer Systems and Technologies, ACM New York, NY, USA ©2013, pp. 216-223, URL: link.

Vasileva, S., A. Kulchiar. (2013) Some approaches to the application of imitation modeling in educating students. Proceedings of the International Conference on Application of Information and Communication Technology and Statistics in Economy and Education (ICAICTSEE - 2013), December 6 -7th, 2013, UNWE, Sofia, Bulgaria, pp. 169-178. ISBN 978-954-644-586-5. URL: link.

Vasileva, S., A. Milev. Models of 2PL Algorithms with Timestamp Ordering for Distributed Transactions Concurrency Control. // International Journal of Soft Computing and Engineering (IJSCE), Volume-3, Issue-4, September 2013, pp. 247–252, Available at: link.

Vasileva, S., I. Paneva, P. Dimitrov Some simulation models of transaction concurrency control for educational purpose. // Proceedings of Седми Међународни Симпозијум Технологија, Информатика и Образовање - Стање и Проблеми, Циљеви и Могућности, Промене и Перспективе, 2013 Филозофски Факултет Бања Лукa, Serbia, pp. 313-324.

Vazquez-Abad Felisa. Ghost simulation model for discrete event systems, an application to a local bus service // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.655-666.
In this paper we present a simulation model for large networks that increases the efficiency compared to a discrete event simulation model. These networks have two different time scales: a fast one and a slow one. The main idea is to replace some of the faster point processes by a «fluid» (called the ghost processes) thus accelerating the execution of the simulation.

Veloso M. An agent-based simulation model for informed shared decision making in multiple sclerosis // Multiple Sclerosis and Related Disorders. 2013;2(4):377-384. https://doi.org/10.1016/j.msard.2013.04.001.

Vinatier F., Gosme M., Valantin-Morison M. (2013). Explaining host-parasitoid interactions at the landscape scale: a new approach for calibration and sensitivity analysis of complex spatio-temporal models // Landscape Ecology, 28 (2): 217-231.
In this paper, we develop a methodological approach based on sensitivity and multivariate analyses to investigate the relationship between the biological parameters of species and landscape characteristics.

Wagh A., Wilensky U. (2013). Leveling the playing field: Making multi-level evolutionary processes accessible through participatory simulations // Proceedings of CSCL, Madison, Wisconsin, June 15-19.

Wagner, N., Agrawal V. (2013). An agent-based simulation system for concert venue crowd evacuation modeling in the presence of a fire disaster // Expert Systems with Applications, 41(6), pp.2807-2815.

Wainer Gabriel A., Tavanpour Misagh, Broutin Emilie. Application of the DEVS and Cell-DEVS formalisms for modeling networking 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.2923-2934.
We present the use of DEVS and Cell-DEVS formalisms to model different approaches in networking applications. We discuss various applications of discrete event system specifications for modeling and simulation of Wireless networks and Wireless Sensor Networks (WSN). We discuss how to use the Cell-DEVS formalism to model a WSN for investigating on stochastic properties of malware propagation and the intrinsic characteristic of WSN.

Waldeck R. (2013). Segregated Cooperation // Journal of Artificial Societies and Social Simulation (JASSS), 16 (4): 14. (Oct 2013).

Wang Zhongshi. Selecting verification and validation techniques for simulation projects: a planning and tailoring strategy // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.1233-1244.
This paper presents: 1.) a characterization approach to developing a verification and validation (V&V) techniques catalog that packages the available techniques together with the information about their application conditions; and 2.) a planning and tailoring strategy for project-specific selection of the appropriate V&V techniques from the established catalog according to the goals and characteristics of a simulation study.

Wang Qi, Taylor John E. Energy saving information cascades in online social networks: an agent-based 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.3042-3050.
Information shared through online social networking platforms is spread from user to user. Although some researchers have argued that this phenomenon can unfold similarly to an epidemic, others have found that information disseminates within a narrow range, propagating only a few levels in a communication network. In an effort to resolve these conflicting findings, we developed an information cascade model to conduct a variance-based global sensitivity analysis to determine the influence of two network attributes on the diffusion of energy saving information. The simulation results of the base model showed that energy saving information failed to generate deep cascades.

Weimer Chris, Miller J.O., Friend Mark, Miller Janet. Forecasting effects of MISO actions: AN ABM methodology // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3980-3981.
We develop an Agent-Based Models (ABM) to investigate factors that affect the growth of rebel uprisings in a notional population. Our ABM expands the civil violence model developed by Epstein by enabling communication between agents through a genetic algorithm and by adding the ability of agents to form friendships based on shared beliefs. We examine the distribution of opinion and size of sub-populations of rebel and imprisoned civilians, and compare two counter-propaganda strategies.

Weintrop D., Hjorth A., Wilensky U. (2013). Know Your Network: Learning Social Networks Analysis Through Meaningful Manipulation // Poster presented at InfoSocial 2013. Evanston, IL, USA.

Weisberg M. (2013). Modeling Herding Behavior and Its Risks // Journal of Economic Methodology, 20, pp.6–18.

Weisberg M. (2013). Simulation and Similarity: Using Models to Understand the World // Oxford University Press.

Westervelt J., Cohen G. (2012). Ecologist-Developed Spatially-Explicit Dynamic Landscape Models // Springer.

White D., Levin J. (2013). Navigating the Turbulent Waters of School Reform Guided by Complexity Theory // Paper presented at the meetings of the American Educational Research Association, San Francisco, California, USA.

Wiens J., Monett D. (2013). Using BDI-extended NetLogo Agents in Undergraduate CS Research and Teaching // In H.R. Arabnia, A. Bahrami, V.A. Clincy, L. Deligiannidis, and G. Jandieri (eds.), Proceedings of The 9th International Conference on Frontiers in Education: Computer Science and Computer Engineering, FECS 2013. CSREA Press U.S.A., pp. 396-402, Las Vegas, NV. (ISBN: 1-60132-243-7).
This paper introduces both the subject and the research results of an undergraduate student project. The project focuses on an agent architecture that implements the beliefs – desires - intentions model.

Wilensky U. (2001, updated 2013) Modeling nature's emergent patterns with multi-agent languages // Proceedings of EuroLogo 2001. Linz, Austria.
NetLogo is a multi-agent modeling language, a parallel extension of Logo. NetLogo is designed to enable scientists to conduct their research by building and analyzing agent-based models and for learners to explore and construct models of emergent phenomena. By exploring and constructing such models, students make connections between the micro-level of agents following rules and the macro-level patterns and regularities that constitute the world of natural and social phenomena.

Windisch J., Roser D., Mola-Yudego B. et al. Business process mapping and discrete-event simulation of two forest biomass supply chains // Biomass Bioenergy. 2013. Vol. 56. P. 370-381.

Wunder M., Suri S., Watts D. Empirical agent based models of cooperation in public goods games // Proceedings of the fourteenth ACM conference on Electronic commerce. 2013. P. 891-908. DOI: https://doi.org/10.1145/2482540.248258.

Yahav Inbal, Karaesmen Itir, Raschid Louiqa. Managing on-demand computing services with heterogeneous customers // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.5-16.
Cloud computing allows the practice of allocating shared computational resources to a diverse set of customers in an on demand fashion. The heterogeneity of customers’ requirements can be characterized by the frequency of demand, the value associated with the service and delay sensitivity. We consider the following two classes of customers: frequent users (FC) and urgent users (UR). Using computational experiments and simulation, we test the effectiveness of heuristic admissions control policies.

Young Jeff. Simulation-based truck fleet analysis to study the impact of federal motor carrier safety administration’s 2013 hours of service regulation changes // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3395-3405.
This paper will chronicle the modeling approach and preliminary results of the performance impact of the two most significant 2013 Hours of Service regulation changes on a large random over-the-road trucking fleet operating in North America. The ultimate goal of this modeling analysis was to provide data to quantify the pending impact of the regulation changes to guide company strategies to mitigate risk and provide a foundation for proactive customer communications. The simulation model was successfully validated by comparing simulated fleet performance against actual fleet performance.

Elena Yurshevich Methodological aspects of microscopic model application as a part of decision support system // Proceedings of the 13th International Conference «Reliability and Statistics in Transportation and Communication» (RelStat’13), 16–19 October 2013, Riga, Latvia, p. 143–154. ISBN 978-9984-818-58-0.
At present the microscopic models are used in decision support system (DSS) for urban transportation system planning and development less frequently than macroscopic models. The main reason of that is complexity of microscopic model (MM) creation, actualization and application. Also its application entails the additional requirements to the data: the range of data is wider and they require additional attention to their relevance, credibility and quality. In this paper the methodological aspects of MM application as a part of the model-driven DSS are considered.

Zamzami Nuha, Schiffauerova Andrea. Simulation of canadian nanotechnology innovation network // Proceedings of the 2013 Winter Simulation Conference R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M.E. Kuhl, eds. – Washington, USA. – P.3980-3981.
This work aims to investigate the role of individual scientists and their collaborations in enhancing the innovative performance of the Canadian nanotechnology innovation network.

Zhang Tao, Rose Oliver. Simulation-based overhead-crane scheduling for a manufacturing 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.2633-2642.
In this paper, we include the crane scheduling problem into the production scheduling environment and combine them together to obtain an integrated schedule. A simulation-based optimization solves this integrated scheduling problem. A genetic algorithm is introduced to determine the al-location of machines and cranes. A simulation model referring to a queuing network is used to evaluate the crane and machine allocation results and provides the fitness value for the genetic algorithm. The sequences of operations (processing and transporting) on each machine and each crane are determined by using the dispatching rule LPT.

Baiba Zvirgzdiņa, Jurijs Tolujevs Evolutionary optimization of a flow line used ExtendSim built-in optimizer // Proceedings of the 13th International Conference «Reliability and Statistics in Transportation and Communication» (RelStat’13), 16–19 October 2013, Riga, Latvia, p. 155–162. ISBN 978-9984-818-58-0.