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Social and Behavioral Simulation

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Advances in Modeling and Simulation

Abstract

Social and behavioral simulation is an emerging field at the intersection of computational social science and simulation modeling and analysis. Modeling how individual and heterogeneous agents “behave” by converting sensory inputs to decisions, emotions, or actions, is the essence of behavioral simulation. The essence of social simulation, analogously, is modeling how these agents “interact” with each other, and behave collectively as a group, as a function of their behavioral imperatives. When techniques from these two fields are combined, social and behavioral simulation connects individual behaviors at the micro-level to system-level behaviors at the macro-level, allowing the study of dynamic social behavior. This kind of modeling can lead to new insights into the causal mechanisms that underlie social systems. Until now, social and behavioral simulation has consisted largely of innovative applications of simulation to illustrate social or group behavior. More recently, the ability of agent-based modeling, system dynamics, network analysis, and associated techniques to study these micro-macro interactions is unparalleled. The field is ripe for methodological and theoretical advancements. This chapter describes the history of social and behavioral simulation from the perspective of the Winter Simulation Conference community, provides a thematic overview of the questions being addressed, and discusses possible future directions.

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References

  • Allen TT, Nixon D (2010) A simple agent-based social impact theory model of student STEM selection. In: Proceedings of the winter simulation conference, pp 278–289

    Google Scholar 

  • Anagnostou A, Athar N, Simon JET (2013) Distributed hybrid agent-based discrete event emergency medical services simulation. In: Simulation conference (WSC), 2013, Winter, IEEE, pp 1625–1636

    Google Scholar 

  • Axelrod R (1984) The evolution of cooperation

    Google Scholar 

  • Axelrod R, Hamilton D (1981) The evolution of cooperation. Science 21(1):1390

    Article  MathSciNet  MATH  Google Scholar 

  • Axtell Robert (2000) Why agents?: on the varied motivations for agent computing in the social sciences

    Google Scholar 

  • Banks J, Carson, JS, Nelson BL. n.d. Discrete-event system simulation. 1996. Prentice-Hall

    Google Scholar 

  • Bert FE, Rovere SL, Macal CM, North MJ, Podestá GP (2014) Lessons from a comprehensive validation of an agent based-model: the experience of the pampas model of argentinean agricultural systems. Ecological Model 273(February):284–298. doi:10.1016/j.ecolmodel.2013.11.024

    Article  Google Scholar 

  • Bharathy Gnana K, Barry S (2010) Validating agent based social systems models. In: Proceedings of the winter simulation conference, pp 441–453. Winter simulation conference. http://dl.acm.org/citation.cfm?id=2433559

  • Bharathy GK, Levent Y, Andreas T (2012) Agent directed simulation for combat modeling and distributed simulation. In: Engineering principles of combat modeling and distributed simulation, edited by Andreas Tolk, John Wiley & Sons, Inc. pp 669–713. doi:10.1002/9781118180310.ch27

  • Birdsey L, Claudia S, Yong MT (2015) Twitter knows: understanding the emergence of topics in social networks. In: Winter simulation conference (WSC). IEEE, pp 4009–4020

    Google Scholar 

  • Brailsford, SC (2014) Modeling human behavior-an (Id) entity crisis? In: simulation conference (WSC), Winter. IEEE, pp 1539–1548

    Google Scholar 

  • Brailsford SC, Joe V, Stuart R, Andrew C, Andrew JL (2013) Hybrid simulation for health and social care: the way forward, or more trouble than it’s worth? In: simulation conference (WSC), Winter. IEEE, pp 258–269. http://ieeexplore.ieee.org/abstract/document/6721425/

  • Bremner BA, William FE (1969) HAWSIM simulation of social services. In: Proceedings of the third conference on applications of simulation, pp 396–401

    Google Scholar 

  • Broeke GT, George van V, Arend L (2016) Which sensitivity analysis method should i use for my agent-based model? J Artif Soc Soc Simul 19(1). doi:10.18564/jasss.2857

  • Bubenko Jr, JA (1968) Simulating a ‘management game’ with programmed decisions. In: Proceedings of the second conference on applications of simulations, pp 222–229. Winter Simulation Conference

    Google Scholar 

  • Carroll TW, Gerhard JH (1968) Two Models of innovation diffusion. In: Proceedings of the second conference on applications of simulations, pp 158–162. Winter Simulation Conference

    Google Scholar 

  • Castellano C, Fortunato S, Loreto V (2009) Statistical physics of social dynamics. Rev Mod Phys 81(2):591

    Article  Google Scholar 

  • Collier NT, Ozik J, Macal CM (2015) Large-scale ABM with RepastHPC: a case-study in parallelizing a distributed ABM. In: PADABS 2015 Proceedings. Vienna, Austria

    Google Scholar 

  • Conway J (1970) The game of life. Scient Am 223(4):4

    Google Scholar 

  • Epstein JM (2006) Generative social science: studies in agent-based computational modeling. Princeton University Press

    Google Scholar 

  • Epstein JM (2008) Why model? J Artif Soc Soc Simul 11(4):12

    Google Scholar 

  • Epstein JM (2014) Agent_Zero: Toward neurocognitive foundations for generative social science. Princeton University Press

    Google Scholar 

  • Epstein JM, Robert A (1996) Growing artificial societies: social science from the bottom up. Brookings Institution Press

    Google Scholar 

  • Fakhimi M, Anastasia A, Lampros S, Simon JET (2014) A hybrid agent-based and discrete event simulation approach for sustainable strategic planning and simulation analytics. In: Simulation conference (WSC), 2014 Winter, pp 1573–1584. IEEE

    Google Scholar 

  • Fishman, GS (1978) Principles of discrete event simulation.[book Review]

    Google Scholar 

  • Forrester, J (1961) W. Industrial dynamics. Cambridge Mass: MITPress 1 (961):1–464

    Google Scholar 

  • Forrester JW (2007) System dynamics—a personal view of the first fifty years. Syst Dyn Rev 23(2–3):345–358

    Article  Google Scholar 

  • Gardner M (1970) Mathematical games: the fantastic combinations of john conway’s new solitaire game ‘life’. Sci Am 223(4):120–123

    Article  Google Scholar 

  • Gilbert N (2002) Varieties of emergence. In: Agent 2002 conference: social agents: ecology, exchange, and evolution, Chicago, 11–12. Citeseer. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.461.8097&rep=rep1&type=pdf

  • Goldsman D, Nance RE, Wilson JR (2010) A brief history of simulation revisited. In: Proceedings of the winter simulation conference, pp 567–574. Winter Simulation Conference

    Google Scholar 

  • Guetzkow HS, Philip K, Randall LS (1972) Simulation in social and administrative science

    Google Scholar 

  • Heath SK, Brailsford SC, Arnold B, Charles MM (2011) Cross-paradigm simulation modeling: challenges and successes. In: Simulation conference (WSC), proceedings of the 2011 Winter, pp 2783–2797. IEEE. http://ieeexplore.ieee.org/abstract/document/6147983/

  • Hofmann MA (2015) Limits of empirical validation: a review of arguments with respect to social simulation. In: Proceedings of the 2015 winter simulation conference, pp 4069–4080. IEEE Press. http://dl.acm.org/citation.cfm?id=2889158

  • Kahneman D (2011) Thinking, fast and slow. Macmillan

    Google Scholar 

  • Kaligotla C, Yücesan E, Chick SE (2015) An agent based model of spread of competing rumors through online interactions on social media. In: Proceedings of the 2015 winter simulation conference. Institute of Electrical and Electronic Engineers Inc, Piscataway, NJ, pp 3985–3996

    Google Scholar 

  • Kaligotla C, Enver Y, Stephen EC (2016) The impact of broadcasting on the spread of opinions in social media conversations. In: Proceedings of the 2016 winter simulation conference. Institute of Electrical and Electronic Engineers Inc, Piscataway, NJ, pp 3476–3487

    Google Scholar 

  • Kunc M (2016) System dynamics: a behavioral modeling method. In: proceedings of the 2016 winter simulation conference. Institute of Electrical and Electronic Engineers Inc, Piscataway, NJ, pp 53–64

    Google Scholar 

  • Macal CM (2009) Agent based modeling and artificial life. In: Encyclopedia of complexity and systems science, pp 112–131. Springer

    Google Scholar 

  • Macal CM (2010) To agent-based simulation from system dynamics. In: proceedings of the winter simulation conference, pp 371–382. Winter Simulation Conference

    Google Scholar 

  • Macal CM (2016) Everything you need to know about agent-based modelling and simulation. J Simul 10(2): 144–156

    Google Scholar 

  • Macal CM, Michael JN (2005) Tutorial on agent-based modeling and simulation. In Simulation conference, 2005 Proceedings of the Winter. IEEE, 14 p

    Google Scholar 

  • Macal CM, Michael JN (2009) Agent-based modeling and simulation. In: winter simulation conference, pp 86–98. Winter simulation conference

    Google Scholar 

  • Macal CM, Michael JN (2014) Introductory tutorial: agent-based modeling and simulation. In: Proceedings of the 2014 winter simulation conference, pp 6–20. Winter simulation conference

    Google Scholar 

  • Maria A (1997) Introduction to modeling and simulation. In: Proceedings of the 29th conference on winter simulation. IEEE Computer Society, pp 7–13

    Google Scholar 

  • Martinez-Moyano IJ, Macal CM (2016) A primer for hybrid modeling and simulation. In: Proceedings of the 2016 winter simulation conference. Institute of Electrical and Electronic Engineers Inc, Piscataway, NJ, pp 133–147

    Google Scholar 

  • Merlone U, Radi, D, Romano A (2015) Minority influence in opinion spreading. In: Proceedings of the Winter Simulation Conference, Institute of Electrical and Electronic Engineers Inc, Piscataway, NJ, pp 3997–4008

    Google Scholar 

  • Nelson BL (2016) Some tactical problems in digital Simulation’for the next 10 years. J Simul 10(1):2–11

    Article  MathSciNet  Google Scholar 

  • Neumann, J von, Arthur WB (1966) Theory of self-reproducing automata. University of Illinois Press Champaign

    Google Scholar 

  • Noble J, Eric S, Jakub B, Stuart R, Maria E, Seth B, Athina V, Jane F (2012) Linked Lives: the utility of an agent-based approach to modeling partnership and household formation in the context of social care. In: Proceedings of the Winter Simulation Conference. Institute of Electrical and Electronic Engineers Inc, Piscataway, NJ, pp 1046–1057

    Google Scholar 

  • Padgham L, Dhirendra S, Fabio Z (2015) Social simulation for analysis, interaction, training and community awareness. In Proceedings of the 2015 winter simulation conference. Institute of Electrical and Electronic Engineers Inc, Piscataway, NJ, pp 3130–3131

    Google Scholar 

  • Pfaff M, Jambotkar CG (1969) An adaptive computer model of the adoption of electricity in a village community. In: Proceedings of the third conference on applications of simulation, pp 402–417. Winter Simulation Conference

    Google Scholar 

  • Reynolds CW (1987) Flocks, herds and schools: a distributed behavioral model. ACM SIGGRAPH Comput Graph 21(4):25–34

    Article  Google Scholar 

  • Rothenberg J (1991) Tutorial: artificial intelligence and simulation. In: proceedings of the 23rd conference on winter simulation, pp 218–222. IEEE Computer Society

    Google Scholar 

  • Sakoda JM (1971) The checkerboard model of social interaction. J Math Sociol 1(1):119–132

    Article  Google Scholar 

  • Salgado M, Gilbert N (2013) Emergence and communication in computational sociology. J Theor Soc Behav 43(1):87–110

    Article  Google Scholar 

  • Sargent RG (2013) Verification and validation of simulation models. J Simul 7(1):12–24

    Article  MathSciNet  Google Scholar 

  • Sawyer KR (2000) Simulating emergence and downward causation in small groups. In: Multi-agent-based simulation, pp 49–67. Springer

    Google Scholar 

  • Schelling TC (1971) Dynamic models of segregation. J Math Sociol 1(2):143–186

    Article  MATH  Google Scholar 

  • Schruben, L (2011) Activity interaction and self-simulating systems. In: proceedings of the winter simulation conference, pp 2900–2908. Winter Simulation Conference

    Google Scholar 

  • Shults FL, Lane JE, Wildman WJ, Diallo S, Lynch CJ, Gore R (2017) Modelling terror management theory: computer simulations of the impact of mortality salience on religiosity. Religion, Brain & Behavior, 1–24. doi:10.1080/2153599X.2016.1238846

  • Siebers PO, Macal CM, Garnett J, Buxton D, Pidd M (2010) Discrete-event simulation is dead, long live agent-based simulation! J Simul 4(3):204–210. doi:10.1057/jos.2010.14

    Article  Google Scholar 

  • Simon HA (1982) Models of bounded rationality: empirically grounded economic reason. vol. 3. MIT press

    Google Scholar 

  • Sun R (2006) cognition and multi-agent interaction: from cognitive modeling to social simulation. Cambridge University Press

    Google Scholar 

  • Thiele JC, Kurth W, Grimm V (2014) Facilitating parameter estimation and sensitivity analysis of agent-based models: a cookbook using NetLogo and R. J Artif Soc Soc Simul 17(3):11

    Article  Google Scholar 

  • Tolk A, Balci O, Combs CD, Fujimoto R, Macal CM, Nelson BL, Zimmerman P (2015) Do we need a national research agenda for modeling and simulation? In: proceedings of the 2015 winter simulation conference. Institute of Electrical and Electronic Engineers Inc, Piscataway, NJ, pp 2571–2585

    Google Scholar 

  • Tuan PL, David SN (1969) MASS—a mail service simulation. In: proceedings of the third conference on applications of simulation, pp 382–395. Winter Simulation Conference

    Google Scholar 

  • Von Neumann J, Morgenstern O (1944) Theory of games and economic behavior

    Google Scholar 

  • Wainwright RT (1974) Life is universal! In Proceedings of the 7th conference on winter simulation-vol 2, pp 449–459. Winter Simulation Conference

    Google Scholar 

  • Wilcox SP (2011) Agentizing the social science of crime. In: Simulation conference (WSC), proceedings of the 2011 Winter. IEEE, 333–344

    Google Scholar 

  • Wildberger AM (1996) Introduction & overview of ‘artificial Life’—evolving Intelligent agents for modeling & simulation. In: Proceedings of the 28th conference on winter simulation, pp 161–168. IEEE Computer Society

    Google Scholar 

  • Wong ZS-Y, Goldsman D, Tsui K-L (2015) School closure strategies for the 2009 hong kong H1N1 influenza pandemic. In: Proceedings of the 2015 winter simulation conference. IEEE Press, pp 3961–3972

    Google Scholar 

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Correspondence to Charles M. Macal .

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Macal, C.M., Kaligotla, C. (2017). Social and Behavioral Simulation. In: Tolk, A., Fowler, J., Shao, G., Yücesan, E. (eds) Advances in Modeling and Simulation. Simulation Foundations, Methods and Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-64182-9_15

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  • DOI: https://doi.org/10.1007/978-3-319-64182-9_15

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