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).

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.

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.