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Artificial Societies

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Encyclopedia of Machine Learning and Data Mining
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Synonyms

Agent-based computational models; Agent-based modeling and simulation; Agent-based simulation models

Definition

An artificial society is an agent-based, computer-implemented simulation model of a society or group of people, usually restricted to their interaction in a particular situation. Artificial societies are used in economics and social sciences to explain, understand, and analyze socioeconomic phenomena. They provide scientists with a fully controllable virtual laboratory to test hypotheses and observe complex system behavior emerging as result of the agents’ interaction. They allow formalizing and testing social theories by using computer code, and make it possible to use experimental methods with social phenomena, or at least with their computer representations, on a large scale. Because the designer is free to choose any desired agent behavioras long as it can be implemented, research based on artificial societies is not restricted by assumptions typical in...

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Recommended Reading

  • Agent-based computational economics, website maintained by Tesfatsion (2009)

    Google Scholar 

  • Arifovic J (1994) Genetic algorithm learning and the cobweb-model. J Econ Dyn Control 18:3–28

    Article  MATH  Google Scholar 

  • Arthur B, Holland J, LeBaron B, Palmer R, Taylor P (1997) Asset pricing under endogenous expectations in an artificial stock market. In: Arthur B et al. (eds) The economy as an evolving complex system II. Addison-Wesley, Boston, pp 5–44

    Google Scholar 

  • Axelrod: The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration (Axelrod 1997)

    Google Scholar 

  • Axelrod R (1997) The complexity of cooperation: agent-based models of competition and collaboration. Princeton University Press, Princeton

    Google Scholar 

  • Axtell RL, Epstein JM, Dean JS, Gumerman GJ, Swedlund AC, Harburger J et al (2002) Population growth and collapse in a multiagent model of the kayenta anasazi in long house valley. Proc Natl Acad Sci 99:7275–7279

    Article  Google Scholar 

  • Bonabeau: Agent-based modeling (Bonabeau 2002)

    Google Scholar 

  • Brenner: Agent learning representation: Advice on modeling economic learning (Brenner 2006)

    Google Scholar 

  • Bonabeau E (2002) Agent-based modeling: methods and techniques for simulating human systems. Proc Natl Acad Sci 99:7280–7287

    Article  Google Scholar 

  • Brenner T (2006) Agent learning representation: advice on modelling economic learning. In: Tesfatsion L, Judd KL (eds) Handbook of computational economics, vol 2. North-Holland, Amsterdam, pp 895–947

    Google Scholar 

  • Duffy J (2006) Agent-based models and human subject experiments. In: Tesfatsion L, Judd KL (eds) Handbook of computational economics, vol 2. North-Holland, Amsterdam, pp 949–1011

    Google Scholar 

  • Epstein: Generative social science (Epstein 2006)

    Google Scholar 

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

    MATH  Google Scholar 

  • Epstein JM, Axtell R (1996) Growing artificial societies. Brookings Institution Press, Washington, DC

    Google Scholar 

  • Gilbert N, den Besten M, Bontovics A, Craenen BGW, Divina F, Eiben AE et al (2006) Emerging artificial societies through learning. J Artif Soc Soc Simul 9(2). http://jasss.soc.surrey.ac.uk/9/2/9.html

  • Journal of Artificial Societies and Social Simulation (2009)

    Google Scholar 

  • Railsback SF, Lytinen SL, Jackson SK (2006) Agent-based simulation platforms: review and development recommendations. Simulation, 82(9):609–623

    Article  Google Scholar 

  • Schelling TC (1969) Dynamic models of segregation. J Math Soc 2:143–186

    MATH  Google Scholar 

  • Tesfatsion and Judd (eds.): Handbook of computational economics (Tesfatsion and Judd 2006)

    Google Scholar 

  • Tesfatsion L (2009) Website on agent-based computational economics. http://www.econ.iastate.edu/tesfatsi/ace.htm

  • Tesfatsion L, Judd KL (eds) (2006a) Handbook of computational economics. Elsevier, Amsterdam/Oxford

    MATH  Google Scholar 

  • Tesfatsion L, Judd KL (eds) (2006b) Handbook of computational economics – vol 2: agent-based computational economics. Elsevier, Amsterdam

    MATH  Google Scholar 

  • The Journal of Artificial Societies and Social Simulation. http://jasss.soc.surrey.ac.uk/JASSS.html

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Branke, J. (2017). Artificial Societies. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_922

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