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Learning Agent and Agent-Based Modeling

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Encyclopedia of the Sciences of Learning

Synonyms

Agent-based computational economics (Social sciences); Artificial society/economy/market; Computational modeling; Multiagent learning (system)

Definition

An agent-based model is a computational model of various processes such as social, economic, and physical. Agents are autonomous, follow specific rules of behavior, and interact. Agents in such models may have zero-intelligence, so that behave randomly, or be purposeful (or goal oriented) and learn. Learning agents are those who modify their behaviors in response to the past outcomes, and they are embedded in a model where agents make decision repeatedly.

Theoretical Background

The basic units of an Agent-Based Model are agents, which are entities characterized by autonomy and by adaption. The former means that there is no central or “top-down” control over their behaviors, and the latter represents the idea that they are reactive to the environment. It is a model of a decentralized system consisting of rather simple agents...

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References

  • Epstein, J. M. (2007). Generative social science: Studies in agent-based computational modeling. Princeton: Princeton University Press.

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  • Shoham, Y., & Leyton-Brown, K. (2009). Multiagent systems: Algorithmic, game theoretic and logical foundations. Cambridge University Press. Available at website: http://www.masfoundations.org/

  • Tesfatsion, L., Website available at http://econ2.econ.iastate.edu/tesfatsi/ace.htm

  • Tesfatsion, L., & Judd, K. (2006). Handbook of computational economics. Agent-based computational economics (Vol. 2). North-Holland: Elsevier

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  • Vohra, R., & Wellman, M. (2007). Special issue on foundations of multi-agent learning. Artificial Intelligence, 171(7), 363–452.

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Author information

Authors and Affiliations

  1. G.R.E.Q.A.M, Centre de la Vieille Charité, 2, Rue de la Charité, 13236, Marseille, France

    Eric Guerci & Nobuyuki Hanaki

Authors
  1. Eric Guerci
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  2. Nobuyuki Hanaki
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Corresponding author

Correspondence to Eric Guerci .

Editor information

Editors and Affiliations

  1. Faculty of Economics and Behavioral Sciences, Department of Education, University of Freiburg, 79085, Freiburg, Germany

    Norbert M. Seel

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© 2012 Springer Science+Business Media, LLC

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Guerci, E., Hanaki, N. (2012). Learning Agent and Agent-Based Modeling. In: Seel, N.M. (eds) Encyclopedia of the Sciences of Learning. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1428-6_545

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  • DOI: https://doi.org/10.1007/978-1-4419-1428-6_545

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-1427-9

  • Online ISBN: 978-1-4419-1428-6

  • eBook Packages: Humanities, Social Sciences and Law

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