Abrahamson D., Gutierrez J.F., Baddorf A.K. (2012). Try to see it my way: the discursive function of idiosyncratic mathematical metaphor // Mathematical Thinking and Learning, 14(1), pp.55-80.

Akopov A.S. (2012) Designing of integrated system-dynamics models for an oil company // International Journal of Computer Applications in Technology. Vol. 45. No. 4. pp. 220–230.

Akopov A.S., Beklaryan L. (2012) Simulation of human crowd behavior in extreme situations // International Journal of Pure and Applied Mathematics. Vol. 79. No. 1. pp. 121–138.

Almeida J., Kokkinogenis Z., Rossetti R. (2012). NetLogo implementation of an evacuation scenario // In the Proceedings of the 7th Iberian Conference on Information Systems and Technologies (CISTI).

Almudí I., Fatas-Villafranca F., Izquierdo L.R. (2012). Innovation, Catch-up and Leadership in Science-Based Industries // Industrial and Corporate Change, Volume 21, Number 2, pp. 345–375.

Antonova G.M. Pattern recognition methods as applied to optimize systems represented by simulation models // Pattern recognition and image analysis (advances in mathematical theory and applications). 2012. V. 22. N. 1. P. 69-71.

Arango Carlos (Spain), Bruzzone Agostino (Italy), Nicoletti Letizia (Italy), Cortes Pablo (Spain). A simulation-based approach for resource management and control: a real case study of a spanish container terminal // 14th International Conference on Harbor, Maritime & Multimodal Logistics Modelling and Simulation (HMS 2012), Vienna, Austria, September, 19-21, 2012, p. 181-187.

Osman Balci A review of «Incorporating Household Structure into a Discrete-Event Simulation Model of Tuberculosis and HIV» // ACM Computing Reviews 53, 12 (Dec.), 2012. P. 768 (CR140432).

Barathy Gnana; Yilmaz Levent; Tolk Andreas (March 2012). Agent directed simulation for combat modeling and distributed simulation // Engineering Principles of Combat Modeling and Distributed Simulation. Hoboken, NJ: Wiley. pp. 669–714. doi:10.1002/9781118180310.ch27.

Bazan Peter, German Reinhard. Hybrid simulation of renewable energy generation and storage Grids // Proceedings of the 2012 Winter Simulation Conference. December 2012. Berlin, Germany.
The share of renewable energy sources in energy production is growing steadily. Domestic homes can be equipped with solar panels, micro combined heat and power systems, batteries, and they can become adaptive consumers. They can also deliver energy to the grid and react to the energy supply. This paper presents a hybrid simulation approach for the analysis of a grid of domestic homes equipped with different technological options with respect to efficiency and costs. For energy storage and energy flows the system dynamics modeling paradigm is used whereas control decisions are modeled as statecharts. The highly intermittent solar irradiation and also the electric power and heat demands are implemented as stochastic models. The component-based design allows for quick creation of new case studies. As examples, different homes with batteries, micro combined heat and power systems, or energy carrier carbazole as energy storage are analyzed.

Khaldi Belkacem, Cherif Foudil An AnyLogic Agent Based Model for the Lymph Node Lymphocytes First Humoral Immune Response // International Conference on Bioinformatics and Computational Biology (ICBCB 2012). vol.34. P.163-169.

Benghalia Abderaouf, Boukachour Jaouad, Boudebous Dalila (France). Simulation of the passage of containers through le havre seaport // 14th International Conference on Harbor, Maritime & Multimodal Logistics Modelling and Simulation (HMS 2012), Vienna, Austria, September, 19-21, 2012, p. 74-80.

Berkel S. van, Turi D., Pruteanu A., Dulman S. (2012). Automatic discovery of algorithms for multi-agent systems // Paper presented at the Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion, Philadelphia, Pennsylvania, USA.
In this paper, we report preliminary results in our effort to push the boundary of the discovery process even further, by replacing the classical approach with a guided search strategy that makes use of genetic programming targeting the NetLogo simulator. The effort moves from a manual model implementation to an automated discovery process.

Bragin J. (2012). Book review of: Niazi, M.A., & Hussain, A. (2012). Cognitive Agent-Based Computing-I: a Unified Framework for Modeling Complex Adaptive Systems Using Agent-Based & Complex Network-Based Methods (SpringerBriefs in Cognitive Computation). Journal of Artificial Societies and Social Simulation. 16 (3) Reviews – 4.

Bruzzone Agostino G., Frascio Marco, Longo Francesco, Massei Marina, Siri Anna, Tremori Alberto (Italy). MARIA: An Agent Driven Simulation for a Web Based Serious Game devoted to Renew Education Processes in Health Care // 1st International Workshop on Innovative Simulation for Health Care (IWISH 2012), Vienna, Austria, September, 19-21, 2012, p. 202-208.

Bruzzone Agostino (Italy), Novak Vera (USA), Madeo Francesca (Italy). Agent based simulation model for obesity epidemic analysis // 1st International Workshop on Innovative Simulation for Health Care (IWISH 2012), Vienna, Austria, September, 19-21, 2012, p. 209-217.

Bruzzone Agostino, Tremori Alberto, Longo Francesco (Italy). Interoperable simulation for protecting port as critical infrastructures // 14th International Conference on Harbor, Maritime & Multimodal Logistics Modelling and Simulation (HMS 2012), Vienna, Austria, September, 19-21, 2012, p. 175-180.

Ján Celko, Marek Drliciak Social–traffic data for mesoscopic transport model // Proceedings of the 12th International Conference «Reliability and Statistics in Transportation and Communication» (RelStat’12), 17–20 October 2012, Riga, Latvia, p. 204–210. ISBN 978-9984-818-49-8.
Gathering the social and traffic data is an essential step in the process of traffic relations calculations in the area of interest. The article deals with the way of social traffic data gathering in Slovak cities. The first part defines the boundary conditions for data gathering. The amount of information obtained from each respondent depends on the number of questions asked in the survey, as well as the depth of the questions asked. Mobility surveys have been done for three Slovak cities – Žilina, Trencín and Martin. The detailed description of data gathering and evaluation is shown for Žilina. The real ways of data gathering and other experiences are presented in the next part of article. Finally, some examples from evaluation of mobility survey are presented.

Ch'ng E. (2012) Macro and micro environment for diversity of behaviour in Artificial Life Simulation // Artificial Life Session, The 6th International Conference on Soft Computing and Intelligent Systems, The 13th International Symposium on Advanced Intelligent Systems, November 20–24, 2012, Kobe, Japan.

Collard M., Collard P., Stattner E. (2012). Mobility and Information Flow: Percolation in a Multi-Agent Model // International Conference on Ambient Systems, Networks and Technologies (ANT), ed. Elseiver. Procedia CS, Vol. 10, p. 22-29, 2012.

Crowder R.M.; Robinson M.A.; Hughes H.P.N.; Sim Y.W. (2012). The development of an agent-based modeling framework for simulating engineering team work // IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. 42 (6): 1425–1439.

Davies John N., Grout V., Rvachova N. Terrain modeling for IEEE802.11N NETWORKS // Сьома міжнародна науково-практична конференція «Математичне та імітаційне моделювання систем. МОДС ’2012». Тези доповідей. – Чернігів-Жукин. – 2012. – 25-28 червня 2012 р. – 415 с. (Седьмая международная научно-практическая конференция 25-28 июня 2012 г. «Математическое и имитационное моделирование систем МОДС 2012), c.219-222.

Marijana Despotović-Zrakić, Dušan Barać, Zorica Bogdanović, Branislav Jovanić, Božidar Radenković. Web-based Environment for Learning Discrete Event Simulation // University of Belgrade, Serbia, Journal of Universal Computer Science, vol. 18, no. 10 (2012), Р.1259–1278.
This paper describes a web-based environment for learning discrete simulation. The main goal of the paper is to foster the process of e-learning simulation by providing students and teachers with effective and comprehensive tools for creating, storing and executing discrete system simulation models. For these purposes the FONWEBGPSS application was developed and integrated into the e-learning system Moodle. The integration is implemented on three levels: users, processes and learning resources. The integration of users and processes is performed by synchronizing data in both systems. The integration of learning resources is performed by adjusting and implementing the IEEE LOM profile for learning simulation. In order to evaluate the impact of the proposed solution on the learning simulation outcome, research has been performed within the undergraduate course Simulation and simulation languages at the University of Belgrade. Research results indicate that students achieve better results in learning simulation when using FONWEBGPSS application integrated into the elearning system than learning in a traditional way.

Djanatliev Anatoli, German Reinhard, Kolominsky-Rabas Peter, Hofmann Bernd M. Hybrid simulation with loosely coupled system dynamics and agentbased models for prospective health technology assessments // Proceedings of the 2012 Winter Simulation Conference. December 2012. Berlin, Germany.
Due to the ageing of the world population, the demand for technology innovations in healthcare is growing rapidly. All stakeholders (e.g., patients, healthcare providers and health industry) can take profit of innovative products, but the development degenerates often into a time consuming and cost-intensive process. Prospective Health Technology Assessment (ProHTA) is a new approach that combines the knowledge of an interdisciplinary team and uses simulation techniques to indicate the effects of new innovations early before the expensive and risky development phase begins. In this paper, we describe an approach with loosely coupled system dynamics and agent-based models within a hybrid simulation environment for ProHTA as well as a use-case scenario with an innovative stroke technology. The project ProHTA is a part of the Centre of Excellence for Medical Technology and is supported by the German Federal Ministry of Education and Research (BMBF), project grant No. 01EX1013B.

Djinevski L., Filiposka S, Trajanov D. Network Simulator Tools and GPU Parallel Systems. In Proceedings of Small Systems Simulation Symposium 2012, Niš, Serbia, 12th-14th February 2012. P. 111–114.

Dyer E.B. (2012, November). Exploring classroom discourse through an agent-based model // Poster presented at the 34th Annual Conference of PME-NA: Kalamazoo, MI: PME.

Fanti Maria Pia, Iacobellis Giorgio, Georgoulas George, Stylios Chrysostomos, Ukovich Walter (Italy). A decision support system for intermodal transportation networks management // 24th European Modeling & Simulation Symposium (ECMS 2012), Vienna, Austria, September, 19-21, 2012, p. 150-155.

Fedorko Gabriel, Weiszer Michal, Borzecky Marek. The Shipments Flow Simulation in Courier Company // Carpathian Logistics Congress. 2012. P. 1-5.

Felberbauer Thomas, Altendorfer Klaus, Hübl Alexander. Using A scalable simulation model to evaluate the performance of production system segmentation in a combined MRP and kanban system // Proceedings of the 2012 Winter Simulation Conference. December 2012. Berlin, Germany.
In this paper two different possible machine allocation policies are studied for a production system consisting of MRP and kanban controlled materials. Performance measures are inventory costs, backorder costs and service level. In policy one, the production system is segmented into one segment for MRP planned materials and one for kanban controlled materials. Policy two implements common machine groups for both kinds of materials. A scalable production planning simulation model is applied which is set up by parameterization of the respective database without any model implementation work. For high set-up times and low number of items, we find that whenever utilization of the production system is high, the production system segmentation policy is preferable. However, for medium and low utilization values common machine groups perform best in all scenarios. The scalable simulation model for different kinds of production systems contributes to further research in this field.

Ferguson J. (2012). Semiotic Analysis of Students’ Use of Multi-Agent Based Modeling Software (NetLogo) in Making Meaning of Complex Systems in Science // Paper presented at the Proceedings of the Contemporary Approaches to Research in Mathematics, Science, Health and Environmental Education Symposium, Melbourne, Australia.
This paper proposes the use of screen capture software and video performance tagging software, specifically Camtasia Studio and Studiocode, to capture, identify and code the data required for a semiotic analysis of student’s use of a multiagent based modeling software package, specifically NetLogo.

Frenken K., Izquierdo L.R., Zeppini P. (2012). Branching innovation, recombinant innovation, and endogenous technological transitions // Environmental Innovation and Societal Transitions, Volume 4, pp. 25–35.

Galic N., Baveco H., Hengeveld G.M., Thorbek P., Bruns E., van den Brink P.J. (2012). Simulating population recovery of an aquatic isopod: Effects of timing of stress and landscape structure // Environmental Pollution 163:91-99.

García Jorge Andrés, Flores Idalia (UNAM). Simulation of the operation of a metro station // 24th European Modeling & Simulation Symposium (ECMS 2012), Vienna, Austria, September, 19-21, 2012, p. 309-315.

Gargiulo, Floriana, Lenormand, Maxime, Huet, Sylvie and Baqueiro Espinosa, Omar. (2012). Commuting Network Models: Getting the Essentials // Journal of Artificial Societies and Social Simulation.

Georgeon O., Sakellariou I. (2012). Designing Environment-Agnostic Agents // In Adaptive Learning Agents workshop (ALA2012), of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), pp. 25-32. Valencia, Spain 2012.
We present autonomous agents that are designed without encoding strategies or knowledge of the environment in the agent.

Ghanbari M.R., Azimi P., Abdollahi F. Simulation-based optimization in performance evaluation of marshaling yard storage policy in a container port // World Academy of Science, Engineering and Technology International Journal of Economics and Management Engineering, Vol:6, No:7, 2012. С.1912-1919.

Ginovart M., Prats C. (2012). A bacterial individual-based virtual bioreactor to test handling protocols in a NetLogo platform // Paper presented at the Proceedings of the 7th Vienna International Conference on Mathematical Modelling, Vienna, Austria.
The choice of a basic modeling approach, either population-level or individual-based (IbM), is an important decision to be addressed according to the problem at hand. We present an IbM that simulates the dynamics of a bacterial bioreactor under different handling protocols. The main objective is to provide a simulator that will be easily understood, adjusted and used by non-experts. The model has been designed on the same basis as the IbM simulator INDISIM, and it is described using the ODD protocol. It has been implemented in NetLogo, so that it can be easily shared among the scientific community.

Gkiolmas A., Chalkidis A., Karamanos K., Papaconstantinou M., Skordoulis C. (2012). A constructionist method for teaching teachers about basic properties of complex systems, using a NetLogo model // Paper presented at the Proceedings of the conference «Constructionism 2012», Athens, Greece.
The current research report discusses a Constructionist approach used to teach prospective Greek Primary School Teachers, about five certain properties of Complex Systems, by the use of the programming and modeling environment of NetLogo, and especially by the use of a NetLogo Model called «Ants».

Grebennikov Alexandre. Program Package GRAL for Solution of Boundary Value Problem for PDE in Domains with Complicated Geometry. // Труды международного семинара «Компьютерное моделирование 2012» («КОМОД-2012»), Санкт-Петербург: Издательство Санкт-Петербургского государственного политехнического университета, 2012 (ISBN 978-5-7422-3642-9), с. 3-8.

Groesser S.N., Schaffernicht M. Mental models of dynamic systems: taking stock and looking ahead // System Dynamics Rev. 2012. Vol. 28, No. 1. P. 46-68.

Gruter C., Schurch R., Czaczkes T.J., Taylor K., Durance T., Jones S.M., Ratnieks F.L.W. (2012). Negative feedback enables fast and flexible collective decision-making in ants // Public Libr. Sci. One 7, e44501. doi:10.1371/journal.pone.0044501zzzz.

Hassani-Mahmooei B., Parris B.W. (2012). Climate change and internal migration patterns in Bangladesh: an agent-based model // Environment and Development Economics, 17(6), 763-780. DOI: 10.1017/S1355770X12000290, Published online: 27 July 2012.

Hassani-Mahmooei B., Parris B.W. (2012). Resource Scarcity, Effort Allocation and Environmental Security: An agent-based theoretical approach // Economic Modeling, 30, 183-192. DOI: 10.1016/j.econmod.2012.08.020.

Hargrove W., Westerveldt J. (2012). An Implementation of the Pathway Analysis Through Habitat (PATH) Algorithm Using NetLogo. Ecologist-developed Spatially-explicit Dynamic Landscape Models; Modeling Dynamic Systems; Springerlink pg. 211-222.

Heckbert S., Isendahl C., Gunn J., Brewer S., Scarborough V., Chase A.F., Chase D.Z., Costanza R., Dunning N., Beach T., Luzzadder-Beach S., Lentz D., Sinclair P. (2012). Growing the Maya social-ecological system from the bottom up: complex systems models of resilience // In: Handbook of Historical Ecology and Applied Archaeology, C. Isendahl & D. Stump, eds. Oxford University Press.

Hennies Til, Reggelin Tobias, Tolujew Juri (Magdeburg, Germany). Mesoscopic supply chain simulation // 14th International Conference on Harbor, Maritime & Multimodal Logistics Modelling and Simulation (HMS 2012), Vienna, Austria, September, 19-21, 2012, p. 85-90.

Hickey D.T., Soylu F. (2012). Wikifolios, reflections, and exams for online engagement, understanding, and achievement // Journal of Teaching and Learning with Technology: 64-71.

Hjorth A., Wilensky U. (2012). Acting like a Turtle: A NetLogo Kinect Extension // Proceedings of the Constructionism 2012 Conference. Athens, Greece, Aug 21-25.

Hoffmann Peter, Schumann Reimar (Germany), Maksoud Talal M.A., Premier Giuliano C. (UK). Research on simplified modelling strategy for virtual commissioning // 24th European Modeling & Simulation Symposium (ECMS 2012), Vienna, Austria, September, 19-21, 2012, p. 293-302.

Hüttler Benno, Zazgornik Jan, Gronalt Manfred (Austria). Synchronous railway simulation of shunting yards // 14th International Conference on Harbor, Maritime & Multimodal Logistics Modelling and Simulation (HMS 2012), Vienna, Austria, September, 19-21, 2012, p. 81-84.

Horn M.S., Weintrop D., Beheshti E., Olson I.C. (2012). Spinners, Dice, and Pawns: Using Board Games to Prepare for Agent-Based Modeling Activities // Presented at the AERA, Vancouver, Canada.

Horn M.S., Wilensky U. (2012). NetTango: A mash-up of NetLogo and Tern. In Moher, T. (chair) and Pinkard, N. (discussant), When systems collide: Challenges and opportunities in learning technology mashups. Symposium presented at the annual meeting of the American Education Research Association,Vancouver, British Columbia.

Hughes H.P.N.; Clegg C.W.; Robinson M.A.; Crowder R.M. (2012). Agent-based modelling and simulation: The potential contribution to organizational psychology // Journal of Occupational and Organizational Psychology. 85 (3): 487–502.

Inihov D., Kolesov Y. and Senichenkov Y. Physical Modeling of Hybrid Systems with Rand Model Designer // Proc. 7th Vienna International Conference on Mathematical Modelling, vol 7, part 1, 2012, pp. 49–54.

Vladimirs Jansons, Vitalijs Jurenoks, Konstantins Didenko Modelling of social-economic systems using of multidimensional statistical methods // Всероссийская научно-практическая конференция по имитационному моделированию социально-экономических систем (ВКИМСЭС). ГОУ ВПО ВЗФЭИ. Труды конференции 15 мая 2012г., Москва: ООО «Принт-Сервис», 2012. – c. 51-55.

Joschko Philip, Haan Johannes, Janz Tim, Page Bernd. Business process simulation with IYOPRO and DESMO-J // Proceedings of The International Workshop on Applied Modeling & Simulation, 2012. 978-88-97999-07-2; Bruzzone, Buck, Cayirci, Longo, Eds.
This paper describes how a Business Process Model and Notation (BPMN) model editor can be extended with simulation capabilities. In cooperation with Intellivate GmbH, which is the developer of the editor IYOPRO, our working group has developed a DESMO-J simulation library extension for simulating business processes notated in BPMN 2.0. We summarize our general approach of extending BPMN models with simulation properties and present, in more detail, problems and best practices while integrating the simulation library.

Kahn K., Noble H., Hjorth A., Sampaio F.F. (2012). Three-minute Constructionist Experiences // Paper presented at the Proceedings of Constructionism 2012, Athens, Greece.

Karamanos K., Gkiolmas A., Chalkidis A., Skordoulis C., Papaconstantinou M., Stavrou D. (2012). Ecosystem food-webs as dynamic systems: Educating undergraduate teachers in conceptualizing aspects of food-webs’ systemic nature and comportment // Advances in Systems Science and Application, Vol.12, No.4: 49-68.

Kimbrough S. (2012). Agents, Games, and Evolution // CRC Press, Boca Raton, Florida.
Koch Markus, Reggelin Tobias, Tolujew Juri (Magdeburg, Germany). Conceptual procedure for grouping logistics objects for mesoscopic modeling and simulation // 14th International Conference on Harbor, Maritime & Multimodal Logistics Modelling and Simulation (HMS 2012), Vienna, Austria, September, 19-21, 2012, p. 37-43.

Kochanski Tim. (2012). Toward Teaching Markets as Complex Systems: A Web Based Simulation Assignment Implemented in Netlogo // International Review of Economics Education, 11 (2), pp.102-114.

Kolevatov G.A., Zamyatina E.B. Simulation Analysis Framework Based on Triad.Net. Proceedings of the 6-th Spring / Summer Young Reseachers’ Colloquium on Software Engineering. SYRCoSE 2012, Perm, May 30-31, 2012-Perm, Russia, pp.160-163.

Kopytov, E., Muravjov, A. Comparative analysis of simulation packages for inventory control system modelling // In Proceedings of the 26th European Conference on Modelling and Simulation (ECMS 2012), Koblenz, Germany, May 29– June 01, 2012 (pp. 595–601). Koblenz: The University of Koblenz-Landau.

Kopytov Eugene, Muravjovs Aivars. Comparative assessment of extendsim and AnyLogic efficiency for inventory control systems simulation // Proceedings 26th European Conference on Modelling and Simulation ECMS-2012. 2012 год.
The given research fulfils the evaluation of the efficiency of application of two universal simulation packages ExtendSim 8 and AnyLogic 6.7 for inventory control system simulation. In the study twenty eight evaluating criteria have been developed which are distributed in five groups: general, programming aspects, visualization, simulation and user support. As an object of the simulation the inventory control model with reorder point strategy and stochastic demand has been chosen.

Eugene Kopytov, Aivars Muravjovs Multiple criteria analysis and choice of simulation tools for inventory control modelling using AHP method // Proceedings of the 12th International Conference «Reliability and Statistics in Transportation and Communication» (RelStat’12), 17–20 October 2012, Riga, Latvia, p. 211–220. ISBN 978-9984-818-49-8.
The given research fulfils evaluation of the efficiency of two universal simulation packages ЕxtendSim 8 and AnyLogic 6.7 for inventory control system modelling. As an object of simulation the inventory control model with reorder point strategy and stochastic demand has been chosen. In the study twenty eight evaluating criteria have been developed, which are distributed in five groups: general, programming aspects, visualization, simulation and user support. For assessment of the suggested packages the Analytic Hierarchy Process method is applied.

Kotenko I., Konovalov A., Shorov A. Agent-based simulation of cooperative defence against botnets // Concurrency and Computation: Practice and Experience, Vol. 24, Issue 6, 25 April 2012, p. 573-588.

Claudia Krull, Graham Horton. Hidden non-markovian reward models : virtual stochastic sensors for hybrid systems // Proceedings of the 2012 Winter Simulation Conference. 2012.
We are interested in partially observable hybrid systems whose discrete behavior is stochastic and unobservable, and for which samples of some of the continuous variables are available. Based on these samples of the continuous variables, we show how the hidden discrete behavior may be reconstructed computationally, which was previously not possible. The paper shows how Hidden non-Markovian Models (HnMM) can be augmented with arbitrary rate and impulse rewards to model these partially observable hybrid systems. An HnMM analysis method is adapted to find the probability of a sample sequence for a given model, as well as likely system behaviors that caused the observation. Experiments illustrate the analysis method and the possible complexity of the reward measure through a medical example and one from computer gaming. The paper extends the class of partially observable systems analyzable via virtual stochastic sensors into the continuous realm for the first time.

Kulynyak I.Y. Imitational modeling as a tool for evaluation of risks impact on the investment project efficiency // Материалы I Международной заочной научно-практической конференции «Прогнозирование и планирование 2012» (июнь 2012 года), ISBN 978-5-902452-37-9 / под редакцией Т.И. Межуевой; Биробиджанский филиал Амурского государственного университета. / Биробиджан, 2012, 235 с., с.213-216.

Larrosa, Juan MC. (2012). Algoritmos evolutivos en juegos de formación de red. Una aplicación en NetLogo. [Evolutive Algorithms in Network Formation Games: A NetLogo Application]. Editorial Académica Española: Saarbrucker (Germany), 168 p. (ISBN-13: 978-3-659-05434-1).

Larrosa, Juan MC. (2012). Introduccion a la economía computacional basada en agentes con aplicaciones NetLogo. [Introduction to Agent-Based Computational Economics with NetLogo Applications]. EdiUNS: Bahia Blanca (Argentina). 216 p. (ISBN: 978-987-1907-15-1).

Legato Pasquale, Mazza Rina Mary (Italy). Simulation for assessing security-based policies in import/export operations // 24th European Modeling & Simulation Symposium (ECMS 2012), Vienna, Austria, September, 19-21, 2012, p. 248-255.

Le Page, Christophe, Becu, Nicolas, Bommel, Pierre and Bousquet, Francois. (2012). Participatory Agent-Based Simulation for Renewable Resource Management: The Role of the Cormas Simulation Platform to Nurture a Community of Practice // Journal of Artificial Societies and Social Simulation (JASSS), 15 (1), 10.

Levin J., Datnow A. (2012). The Principal Role in Data Driven Decision Making: Using Case Study Data to Develop Multi-Mediator Models of Educational Reform // School Effectiveness and School Improvement. 23 (2), pp.179-201.
This article will illustrate the actions of the principal, teachers, students, and district personnel through simulation models of principal leadership that we developed based on a case study of a high school implementing this reform. We use these models both as a framework for understanding our findings and as a way to enhance understanding of the processes by which educational reform is coconstructed through the simultaneous mediation of the multiple agents involved in the system.

Lin Y., Berger U., Grimm V., Ji Q-R. (2012). Differences between symmetric and asymmetric facilitation matter: exploring the interplay between modes of positive and negative plant interactions // Journal of Ecology. DOI: 10.1111/j.1365-2745.2012.02019.x.

Liu C., Sibly R.M., Grimm V., Thorbek P. (2012). Linking pesticide exposure and spatial dynamics: an individual-based model of wood mouse (Apodemus sylvaticus) populations in agricultural landscapes. Ecological Modelling.

Luangmul K., Pichitlamken J., Weerawat W. (Thailand). Reduction of turnaround time in a hospital’s clinical labaratory by simulation modeling // 1st International Workshop on Innovative Simulation for Health Care (IWISH 2012), Vienna, Austria, September, 19-21, 2012, p. 68-72.

Lytinen S. L. and S. F. Railsback. (2012). The Evolution of Agent-based Simulation Platforms: A Review of NetLogo 5.0 and ReLogo // To appear in Proceedings of the Fourth International Symposium on Agent-Based Modeling and Simulation, at the 21st European Meeting on Cybernetics and Systems Research (EMCSR 2012), Vienna, Austria, April 2012.

Maharaj S., Kleczkowski A. (2012). Controlling Epidemic Spread by Social Distancing: Do it well or not at all // BMC Public Health 12:679.

Martin B.T., Jager T., Preuss T., Nisbet R., Grimm V. (2012). Predicting population dynamics from the properties of individuals: a test of Dynamic Energy Budget theory. American Naturalist, 18(4), pp.506-519.

Martin B.T., Zimmer E.I., Grimm V., Jager T. (2012). Dynamic Energy Budget theory meets individual-based modelling: a generic and accessible implementation // Methods in Ecology and Evolution, 3, pp.445-449.

Massote Alexandre Augusto, Caruso Domenico, Sousa João Batista Gonçalves (Brazil). Application of discrete systems simulation to reduce waiting time in the outpatient service of a hospital in the city of são Paulo, Brazil // 1st International Workshop on Innovative Simulation for Health Care (IWISH 2012), Vienna, Austria, September, 19-21, 2012, p. 170-175.

Mathew Reejo, Mastaglio Thomas W., Lewis Andrew (USA). A simulation tool for high-fidelity modeling of complex logistical networks // 24th European Modeling & Simulation Symposium (ECMS 2012), Vienna, Austria, September, 19-21, 2012, p. 6-14.

Merkuryev Yuri A. (Latvia), Sokolov Boris V., Merkuryeva Galina V. (Latvia). Integrated intelligent platform for monitoring the cross-border natural-technological systems // 14th International Conference on Harbor, Maritime & Multimodal Logistics Modelling and Simulation (HMS 2012), Vienna, Austria, September, 19-21, 2012, p. 7-10.

Galina Merkuryeva, Vitaly Bolshakov. Simulation optimisation and monitoring in tactical and operational planning of deliveries // Proceedings of the 24th European Modeling and Simulation Symposium, Vienna, Austria, 2012 (978-88-97999-09-6), p. 226-231.

Mialhe F., Becu N., Gunnell Y. (2012). An agent-based model for analyzing land use dynamics in response to farmer behaviour and environmental change in the Pampanga delta (Philippines) // Agriculture, Ecosystems & Environment, 161, pp.55-69.

Mitroshin S.G., Pikulin V.V. Multimethod simulation for optimization of the organization structure in consulting company // International magazine «Software products and systems», № 1, 2012. с. 142 – 145.
Questions of application of the multimethod simulation modeling for increase of efficiency of activity of the consulting company by change of composition of experts are considered. There are an example of a simulation model developed in the AnyLogic modeling tool, and the results of its use.

Montes G. (2012). Using Artifical Societies to Understand the Impact of Teacher Student Match on Academic Performance: The Case of Same Race Effects // Journal of Artificial Societies and Social Simulation, 15(4), 8.
This paper presents an agent-based model of the standard U.S. k-12th grade classroom using NetLogo. By creating an artificial society, we identify the casual implications of the same race effect (a moderate sized academic boost to students whose teachers have the same race) on the national educational achievement trends. The model predicts sizeable achievement gaps at the national level, consistent in size with those documented by the US National Report Card stemming from moderate sized same race effects. These results hold for all teacher-student matching phenomena and have implications for educational policy at the aggregate level.

Muldoon R., Smith T., Weisberg M. (2012). Segregation That No One Seeks // Philosophy of Science, 79, pp.38–62.

Murgatroyd P., Craenen B., Theodoropoulos G., Gaffney V., Haldon J. (2012). Modelling medieval military logistics: An agent-based simulation of a Byzantine army on the march // Computational and Mathematical Organization Theory, December 18, 4, 488-506.

Muscalagiu I., Iordan A., Osaci M., Panoiu M. (2012). Modeling and simulation of the protein folding problem in DisCSP-Netlogo // AWERProcedia Information Technology and Computer, 2.

Mutingi M. Dynamic simulation for effective workforce management in new product development. Management Science Letters 2 (2012) 2571–2580.

Najib Mehdi, Fazziki Abdelaziz El (Morocco), Boukachour Jaouad (France). A container terminal management system // 14th International Conference on Harbor, Maritime & Multimodal Logistics Modelling and Simulation (HMS 2012), Vienna, Austria, September, 19-21, 2012, p. 118-127.

Nassar Khaled, Bayyoumi Ahmed. A simulation study of the effect of mosque design on egress times // Proceedings of the 2012 Winter Simulation Conference. December 2012. Berlin, Germany.
The Mosque prayer hall is perhaps the only architectural space designed for a large number of floorseated occupants. A critical issue in the design of mosques is determining the number and configuration of exit locations. This paper describes a discrete-event simulation model developed to assess the effect of mosque prayer hall configuration on the egress times of the occupants. The simulation model takes into consideration the behavioral aspects of the mosque occupants such as shoe placement and pickup, after prayer lingering, late egress of front rows, after prayers, and congregations inside and outside the mosque. Most of the various exit configurations possible in mosque design are modeled and assessed for total egress time as well as flow rates. It is shown that one-sided exit location out performs all other configurations. The study presents the first such analysis of mosque egress and the results should of great interest to architects and researchers alike.

Ozkok M. The effects of matrix module structure on shipyard panel line’s throughput // Polish maritime research, 3(75), 2012, Vol 19; pp. 65-71.

Papaleonidas A., Iliadis L. Hybrid and reinforcement multi-agent technology for real time air pollution monitoring // Advances in Information and Communication Technology. 2012. Vol. 381. P. 274-284.

Parragh Stephanie, Einzinger Patrick (Austria). Modelling health care utilisation: a method comparison // 1st International Workshop on Innovative Simulation for Health Care (IWISH 2012), Vienna, Austria, September, 19-21, 2012, p. 101-106.

Patel A., Crooks A., Koizumi N. (2012). Slumulation: An Agent-Based Modeling Approach to Slum Formulations // Journal of Artificial Societies and Social Simulation (JASSS), 15 (4), 2. (Oct 2012).
Slums provide shelter for nearly one third of the world's urban population, most of them in the developing world. Slumulation represents an agent-based model which explores questions such as i) how slums come into existence, expand or disappear ii) where and when they emerge in a city and iii) which processes may improve housing conditions for urban poor. The model has three types of agents that influence emergence or sustenance of slums in a city: households, developers and politicians, each of them playing distinct roles. We model a multi-scale spatial environment in a stylized form that has housing units at the micro-scale and electoral wards consisting of multiple housing units at the macro-scale.

Alexander Pavlov, Boris Sokolov, Vyacheslav Zelentsov, Alexander Kulakov, Dmitry Ivanov Complex modelling of the structural-functional reconfiguration of supply chain // Proceedings of the 12th International Conference «Reliability and Statistics in Transportation and Communication» (RelStat’12), 17–20 October 2012, Riga, Latvia, p. 260-266. ISBN 978-9984-818-49-8.
The comprehensive approach to modelling the structural and functional reconfiguration of the distribution network (DN) of the supply chain in terms of destructive influences, leading to its structural dynamics, is proposed. Offered for scenarios of structural dynamics of the DN is a generalized dynamic model of the structural and functional reconfiguration, which provided that the constancy intervals of intermediate structural states of the DN reduced to a multicriteria linear programming problem with bilateral constraints.

Pinacho P., Pau I., Chacón M., Sánchez S. (2012). An ecological approach to anomaly detection: the EIA model // in Artificial Immune Systems: Lecture Notes in Computer Science, 7597, 232-245.

Purnomo H., Suyamto D., Irawati R.H. (2012). Harnessing the climate commons: an agent-based modelling approach to making reducing emission from deforestation and degradation (REDD)+work // Mitigation and Adaptation Strategies for Global Change.

Rahm Tobias, Sadri Kambiz, Koch Christian, Thewes Markus, König Markus. Advancement simulation of tunnel boring machines // Proceedings of the 2012 Winter Simulation Conference. December 2012. Berlin, Germany.
In mechanized tunneling a significant loss of performance resulting from weak spots in the supply chain or unforeseen geological conditions is a frequent and costly problem. Furthermore, disturbances of critical machine components can have such impact on the production that unforeseen modifications become necessary. Due to the sequential character the malfunction of one element might evoke cascading-effects which may result in a complete standstill of the tunneling progress. Transparent evaluation of applicable tunnel boring machine designs is essential in order to improve the productivity, avoid unplanned interruptions and to estimate the project duration in general. In order to meet these defiances, this paper presents a multi-method simulation model to investigate the advancement rate of tunnel boring machines. Processrelated disturbances can be considered easily within the presented simulation model. Simulation experiments demonstrate the purposive functionality of the model and visualize the significant influence of technical failure on the overall project performance.

Ramírez R., Harris P.D., Bakke T.A. (2012). An agent-based modelling approach to estimate error in gyrodactylid population growth // International Journal for Parasitology, 2(9), 809-17. doi: 10.1016/j.ijpara.2012.05.012.

Rhee J.M., Iannaccone P.M. (2012). Mapping mouse hemangioblast maturation from headfold stages // Developmental Biology, 365 (1), 1-13. doi:10.1016/j.ydbio.2012.02.023.

Ross J. (2012). A comparative study of simulation software for modeling stability operations // In the Proceedings of the 2012 Symposium on Military Modeling and Simulation.
There are several software tools available for modeling combat and social phenomena. With more emphasis being shifted to the study of Irregular Warfare from Traditional Warfare it is important to evaluate current combat models to see if they can effectively model the complex situations that are faced by today’s war fighters. This study evaluates three simulation software products: Map Aware Non-uniform Automata, Pythagoras, and NetLogo. An attempt to model a civil violence scenario and a segregation scenario is made using each software model

Rozkov M. Imitating modeling of logistic networks suppliers in automotive industry // Scientifically-analytical magazine «Logistics and management of chains of deliveries». April, №2 (49), 2012.
Foreign publications devoted to the topic of specific features of interactions between suppliers and manufacturer in automotive industry are analyzed in this review article. Current state of the industry is presented. Major tendencies are viewed. Articles considering simulation as a method for logistic network optimization are reviwed.

Sakellariou I. (2012). Agent based Modelling and Simulation using State Machines // SIMULTECH 2012. Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications, pp.270-279, Rome, Italy, 28 - 31 July, 2012.
This paper presents an extension to the TSTATES library that aims to support the implementation of state based intelligent agents and a more complex example drawn from the pedestrian simulation domain that demonstrates the potential of the library in programming complex agent systems.

Sakellariou I. (2012). Turtles as State Machines – Agent Programming in NetLogo using State Machines // Proceedings of the 4th International Conference on Agents and Artificial Intelligence (ICAART 2012), Volume 2 - Agents, Joaquim Filipe, Ana L. N. Fred (Eds.), SciTePress 2012, ISBN 978-989-8425-96-6, pp.375-378, Vilamoura, Algarve, Portugal, 6-8 February, 2012.
Agent based modelling has received significant attention in the recent years mainly due its wide adoption by scientists in a number of fields. Although agent simulation platforms have proven to be quite mature and expressive for modelling simple agents, little has been done regarding enhancing these platforms by higher level agent oriented programming facilities. This work aims at this direction, i.e. an add-on library to a well known simulation platform aiming at the specification of complex high level agents, using state machines.

Schindler J. (2012). Rethinking the Tragedy of the Commons: The Integration of Socio-Psychological Dispositions // Journal of Artificial Societies and Social Simulation (JASSS), 15 (1): 4.

Thomas J. Schriber, Daniel T. Brunner How discrete-event simulation software works and why it matters // Proceedings of the 2012 Winter Simulation Conference C. Laroque, J. Himmelspach, R. Pasupathy, O. Rose, and A.M. Uhrmacher, eds. P.22-36.
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.

Schumann Benjamin, Scanlan James, Fangohr Hans. Complex agent interactions in operational simulations for aerospace design // Proceedings of the 2012 Winter Simulation Conference. December 2012. Berlin, Germany.
Product complexity in the aerospace industry has grown fast while design procedures and techniques did not keep pace. Product life cycle implications are largely neglected during the early design phase. Also, aerospace designers fail to optimize products for the intended operational environment. This study shows how a design, simulated within its anticipated operational environment, can inform about critical design parameters, thereby creating a more targeted design improving the chance of commercial success. An agent-based operational simulation for civil Unmanned Aerial Vehicles conducting maritime Search-and-Rescue missions is used to design and optimize aircrafts. Agent interactions with their environment over the product life-cycle are shown to lead to unexpected model outputs. Unique insights into the optimal design are gained by analysis of the operational performance of the aircraft within its simulated environment.

Smojver S. (2012). Analysis of banking supervision via inspection Game and agent-based modeling // In the Proceedings of the 2012 Central European Conference on Information and Intelligent Systems, Varazdin, Croatia, Sep 19 - 21, 2012: 355-362.
This paper examines relationship between banks and banking supervisors and explores how supervisors can adapt their strategy and be more efficient in achieving supervisory goals. The relationship is evaluated from game theoretic perspective and an agent-based model of banks’ and supervisors’ behavior and interaction is created. Computer simulation of the model is constructed in NetLogo environment, results are presented and conclusions are drawn.

Dalton Soares, Eduardo J. Quaglia Material flow simulation for process development at a telecommunication’s factory in the amazon region // Proceedings of the 2012 Winter Simulation Conference C. Laroque, J. Himmelspach, R. Pasupathy, O. Rose, and A.M. Uhrmacher, eds.
This paper describes how a telecommunication company applies simulation modeling to develop a factory internal material flow Kanban process in the Manaus free trade zone, Amazon region, Brazil.

Boris V. Sokolov, Mikhail Yu. Okhtilev, Viacheslav A. Zelentsov, Marina A. Maslova. The intelligent monitoring technology based on integrated ground and aerospace data // Proceedings of the 14th International Conference on Harbor, Maritime and Multimodal Logistics M&S, Vienna, Austria, 2012 (ISBN 978-88-97999-11-9), p.112-117.

Boris V. Sokolov, Viacheslav A. Zelentsov, Rafael M. Yusupov, Yuri A. Merkuryev. Information fusion multiple-models quality definition and estimation // Proceedings of the 14th International Conference on Harbor, Maritime and Multimodal Logistics M&S, Vienna, Austria, 2012 (ISBN 978-88-97999-11-9), p.102-111.

Spasic Bojan, Onggo Bhakti S.S. Agent-based simulation of the software development process: a case study at AVL // Proceedings of the 2012 Winter Simulation Conference. December 2012. Berlin, Germany.
Software development projects are difficult to manage due to the high uncertainty in their various phases. Simulation is one of the tools that has been used to help software project managers produce project plans. Research into software process simulation modeling (SPSM) shows the dominance of discrete-event simulation and system dynamics. This paper supports the use of ABS in SPSM. We propose a practical effort function to estimate developers’ behavior. The other contribution of this paper is to demonstrate how the ABS model can be developed, calibrated and validated using data readily available to many software development companies/departments. This paper focuses on the construction phase of a tailored Rational Unified Process used in a geographically distributed software development department at AVL. The results look promising but more work needs to be done to include ABS into one of the mainstream simulation paradigms in SPSM.

Stamatopoulou I., Sakellariou I., Kefalas P. (2012). Formal Agent-Based Modelling and Simulation of Crowd Behaviour in Emergency Evacuation Plans // Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on , vol.1, no., pp.1133-1138, 7-9 Nov. 2012.
In this paper, we propose that formal modelling can rigorously define but also naturally lead to realistic simulations of such cases. Our main contribution is presenting how formal statebased methods, namely X-machines, can be employed to model agents in emergency evacuation plans. We also discuss the role of emotions, model artificial emotions that change the behavior of agents under emergency situations, and provide a formalism that models the role of emotions and personality traits in order to create a more realistic scenario.

Stummer Christian (Germany), Kiesling Elmar (Austria). Simulating innovation adoption behavior: lessons learned for modelers and programmers // 24th European Modeling & Simulation Symposium (ECMS 2012), Vienna, Austria, September, 19-21, 2012, p. 90-96.

Tarvo A. Simulating performance of multithreaded programs // Сьома міжнародна науково-практична конференція «Математичне та імітаційне моделювання систем. МОДС ’2012». Тези доповідей. – Чернігів-Жукин. – 2012. – 25-28 червня 2012 р. – 415 с. (Седьмая международная научно-практическая конференция 25-28 июня 2012 г. «Математическое и имитационное моделирование систем МОДС 2012), c.222-226.

Thiele J., Kurth W., Grimm V. (2012). Agent-based modelling: Tools for linking NetLogo and R // Journal of Artificial Societies and Social Simulation (JASSS), 15 (3): 8.
We report on recently developed tools for linking two widely used software platforms: NetLogo for implementing agent-based models, and R for the statistical analysis and design of experiments. Embedding R into NetLogo allows the use of advanced statistical analyses, specific statistical distributions, and advanced tools for visualization from within NetLogo programs. Our linking tools have the potential to significantly advance research based on agent-based modelling.

Thiele J.C., Kurth W., Grimm V. (2012). RNetLogo: an R package for running and exploring individual-based models implemented in NetLogo // Methods in Ecology and Evolution, 3, pp.480-483.

Treiber, M. Christian. Thiemann Traffic Flow Dynamics: Data, Models and Simulation / M. Treiber, A. Kesting. – London : Springer, 2012. – C. 221–222.

Tseligorov N.A., Leonov M.V., Tseligorova E.N. Modeling complex "Sustainability" for the study of robust absolute stability of nonlinear impulsive control system. // Труды международного семинара «Компьютерное моделирование 2012» («КОМОД-2012»), Санкт-Петербург: Издательство Санкт-Петербургского государственного политехнического университета, 2012 (ISBN 978-5-7422-3642-9), с. 9-14.

Vasileva, S. Algorithm for Simulating Timestamp Ordering in Distributed Databases. // Proceedings of the VI International Conference on Information Systems and GRID Technologies, 1-3 June 2012, Faculty on Mathematics and Informatics, University of Sofia «St. Kliment Ohridski“ Bulgarian Chapter of the Association for Information Systems (BulAIS), St. Kliment Ohridski University Press, Sofia, Bulgaria, pp. 352-364. Available at: link.

Vasileva, S. Algorithms Modelling Mechanisms of Timestamp Ordering in Distributed Databases. // Proceedings of the International Conference Automatics and Informatics’12, 03–05.10. 2012, Sofia, Bulgaria, pp. 235–238. Published in the Journal Automatica and Informatics in 2012, No. 5-6, 217-220.

Vasileva, S., K. Kapinchev. Some Simulation Models of Process’ Synchronization for Educational Purpose. // Proceedings of the International Conference on Application of Information and Communication Technology and Statistics in Economy and Education (ICAICTSEE - 2012), October 5 - 6th, 2012, UNWE, Sofia, Bulgaria, pp.474-483. URL: link.

Vasileva, S., B. Zhekov. A Model of Distributed Two-Phase Locking with Time Stamps in Distributed Database Management Systems. // Proceedings of the International Scientific Conference Informatics in the Scientific Knowledge – 2012, Varna Free University «Chernorizets Hrabar» and the Institute of Mathematics and Informatics of the Bulgarian Academy of Sciences, June 27-29, 2012, Varna, pp. 258-268.

Viamonte Maria João, Nascimento Virgínia, Silva Nuno, Maio Paulo (Portugal). AEMOS: an agent-based electronic market simulator with ontology-services and social network support // 24th European Modeling & Simulation Symposium (ECMS 2012), Vienna, Austria, September, 19-21, 2012, p. 144-149.

Viana Joe, Rossiter Stuart, Channon Andrew A., Brailsford Sally C., Lotery Andrew. A multi-paradigm, whole system view of health and social care for age-related macular degeneration // Proceedings of the 2012 Winter Simulation Conference. December 2012. Berlin, Germany.
This paper presents a hybrid simulation model for the management of an eye condition called age-related macular degeneration, which particularly affects the elderly. The model represents not only the detailed clinical progression of disease in an individual, but also the organization of the hospital clinic in which patients with this condition are treated and the wider environment in which these patients live (and their social care needs, if any, are met). The model permits a «whole system» societal view which captures the interactions between the health and social care systems.

Vinatier F., Lescourret F., Duyck P.-F., Tixier P. (2012). From IBM to IPM: Using Individual-Based Models to design the spatial arrangement of traps and crops in Integrated Pest Management strategies // Agriculture, Ecosysems and Environment, 146 (1): 52-59.

Vinatier F., Gosme M., Valantin-Morison M. (2012). A tool for testing integrated pest management strategies on a tritophic system involving pollen beetle, its parasitoid and oilseed rape at the landscape scale // Landscape Ecology, 27 (10): 1421-1433.

Vindel A. Jose (Mexico). Optimal ambulance location, at university of Mexico, employing simulation // 24th European Modeling & Simulation Symposium (ECMS 2012), Vienna, Austria, September, 19-21, 2012, p. 303-308.

Wagh A., Wilensky U. (2012). Evolution in blocks: Building models of evolution using blocks // Proceedings of Constructionism, Athens, Greece, Aug 21-25.

Wagh A., Wilenky U. (2012). Breeding birds to learn about artificial selection: Two birds with one stone? // Proceedings of ICLS, Sydney, Australia, July 2-6.

Wagh A., Wilensky U. (2012). Mechanistic Explanations of evolutionary change facilitated by agent-based models // Paper presented at AERA, Vancouver, April 13-17.

Wang Y.S., Ellwood F., Maestre F.T., Yang Z.Y., Wang G., Chu C.J. (2012). Positive interactions can produce species-rich communities and increase the species temporal turnover // Journal of Plant Ecology, 5:417-421.
The process of facilitation, where a species increases the survival, growth, and fitness of another species, is becoming increasingly recognized as a critical factor in shaping the structure of plant communities. This process is particularly important in stressful environments. Yet few studies have attempted to incorporate positive interactions into community ecological theories such as the neutral theory of biodiversity. Here, we use an equalizing trade-off model as a foundation to study the potential impact of facilitation on species richness and community temporal turnover.

Whitehouse H., Kahn K., Hochberg M.E., Bryson J.J. (2012). The role for simulations in theory construction for the social sciences: case studies concerning Divergent Modes of Religiosity // Religion, Brain & Behavior, 2(3).

Wu Belinda M., Birkin Mark H. Agent-Based Extensions to a Spatial Microsimulation Model of Demographic Change. Agent-Based Models of Geographical Systems, Springer, 2012. P. 347–360.

Yalvac B., Ayar, M. C., & Soylu, F. (2012). Teaching Engineering with Wikis.International Journal of Engineering Education, 28(3), 701.

Yusupov R.M., Sokolov B.V., Zelentsov V. Multiple-model description and structure dynamics analysis of active moving objects control system // ITHEA International Conferences, iii 2012 - "Information - Interaction - Intellect", Varna, Bulgaria, June 18–19, 2012.

Zeng M. (2012). Based on NetLogo Simulation for Credit Risk Management.Advances in Computer Science and Engineering, 141, pp. 395-401.
With economic development, the credit card business has entered a stage of rapid development. Using quantitative methods of modeling to analyses and predicts the consumers use the credit card behaviors. It is one of hot project in the experimental economics, and it is important for avoiding credit risk. The essay based on a simple NetLogo simulation model to simulate individual consumers and economic activity, to observe the risk of credit card operation system. The experimental results is, in the different income levels, the cardholders’ consuming and withdrawal behaviors would have no limits, then the issuing bank would be set line of credit is not higher twice than their income.

Baiba Zvirgzdina, Jurijs Tolujevs Simulation-based metaheuristic optimization of logistics systems // Proceedings of the 12th International Conference «Reliability and Statistics in Transportation and Communication» (RelStat’12), 17–20 October 2012, Riga, Latvia, p. 221–226. ISBN 978-9984-818-49-8.
Simulation models are important for planning, implementing and operating logistics systems since they can depict their dynamic system behavior. In the field of logistics, discrete-event models are widely used. Their creation and computation is often very time and labor consuming. For this reason, the paper reviews optimization methods for simulation models to quickly and effectively execute analysis and planning tasks related to production and logistics systems. The paper reviews literature from 2008 to 2011 that describes the latest research in optimization methods for simulation models that are widely used. Most of those methods discussed in this paper are metaheuristics.