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An Algorithm for the Simulation of Bounded Rational Agents

Author

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  • Schuster, Stephan

Abstract

Non-classical models of economic behaviour, usually summarised under the notion of 'Bounded Rationality' criticise the assumptions of the standard economic model - hyperrationality, perfect and costless information, and unlimited mental processing capabilities. However, alternative approaches have either remained very simple or purely descriptive. Here, a computational approach is presented based on Simon's concept of bounded rationality and satisficing as a compromise between the oversimplification of analytical and the descriptiveness of rich cognitive models.

Suggested Citation

  • Schuster, Stephan, 2009. "An Algorithm for the Simulation of Bounded Rational Agents," MPRA Paper 15942, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:15942
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    File URL: https://mpra.ub.uni-muenchen.de/19683/1/MPRA_paper_19683.pdf
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    References listed on IDEAS

    as
    1. Herbert Simon, 2000. "Bounded rationality in social science: Today and tomorrow," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 1(1), pages 25-39, March.
    2. LeBaron, Blake & Arthur, W. Brian & Palmer, Richard, 1999. "Time series properties of an artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1487-1516, September.
    3. Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-291, March.
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    Cited by:

    1. Nicolas Marciales Parra, 2013. "A mathematical model for consumers based on aspiration adaptation theory and bounded rationality," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 5(1), pages 136-143, June.

    More about this item

    Keywords

    agent based modelling; bounded rationality; reinforcement learning; rule extraction;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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