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BRA: An Algorithm for Simulating Bounded Rational Agents

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  • Stephan Schuster

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  • Stephan Schuster, 2012. "BRA: An Algorithm for Simulating Bounded Rational Agents," Computational Economics, Springer;Society for Computational Economics, vol. 39(1), pages 51-69, January.
    • Handle: RePEc:kap:compec:v:39:y:2012:i:1:p:51-69
    DOI: 10.1007/s10614-010-9231-1
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    References listed on IDEAS

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    1. Erev, Ido & Roth, Alvin E, 1998. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria," American Economic Review, American Economic Association, vol. 88(4), pages 848-881, September.
    2. Kirman, Alan P. & Vriend, Nicolaas J., 2001. "Evolving market structure: An ACE model of price dispersion and loyalty," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 459-502, March.
    3. 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.
    4. Brenner, Thomas, 2006. "Agent Learning Representation: Advice on Modelling Economic Learning," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 18, pages 895-947, Elsevier.
    5. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
    6. Roland G. Fryer & Jacob K. Goeree & Charles A. Holt, 2005. "Experience-Based Discrimination: Classroom Games," The Journal of Economic Education, Taylor & Francis Journals, vol. 36(2), pages 160-170, April.
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    Cited by:

    1. Schuster, Stephan, 2012. "Applications in Agent-Based Computational Economics," MPRA Paper 47201, University Library of Munich, Germany.
    2. Ponomarenko, Alexey, 2020. "A note on observational equivalence of micro assumptions on macro level," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-15.
    3. Lindkvist, Emilie & Norberg, Jon, 2014. "Modeling experiential learning: The challenges posed by threshold dynamics for sustainable renewable resource management," Ecological Economics, Elsevier, vol. 104(C), pages 107-118.

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    More about this item

    Keywords

    Agent based modelling; Bounded rationality; Reinforcement learning; C63;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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