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Agent Learning Representation - Advice in Modelling Economic Learning

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Author Info
Thomas Brenner ()

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Abstract

This paper presents an overview on the existing learning models in the economic literature. Furthermore, it discusses which of these models should be used under what circumstances and how adequate learning models can be chosen in simulation approaches. It gives advice for getting along with the many models existing and picking the right one for the own application.

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Publisher Info
Paper provided by Max Planck Institute of Economics, Evolutionary Economics Group in its series Papers on Economics and Evolution with number 2004-16.

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Length: 88 pages
Date of creation: Nov 2004
Date of revision:
Handle: RePEc:esi:evopap:2004-16

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Jasmina Arifovic & John Ledyard, 2004. "Scaling Up Learning Models in Public Good Games," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 6(2), pages 203-238, 05. [Downloadable!] (restricted)
  2. Arifovic, Jasmina, 1994. "Genetic algorithm learning and the cobweb model," Journal of Economic Dynamics and Control, Elsevier, vol. 18(1), pages 3-28, January. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Shu-Heng Chen & Chung-Ching Tai, 2006. "Republication: On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer, vol. 28(4), pages 313-331, November. [Downloadable!] (restricted)
  2. Fernando Lozano & Jaime Lozano & Mario García, 2007. "An Artifitial Economy based on reinforcement learning and agent based modeling," DOCUMENTOS DE TRABAJO 003907, UNIVERSIDAD DEL ROSARIO - FACULTAD DE ECONOMÍA. [Downloadable!]
  3. Buda, Rodolphe, 2009. "Learning-Testing Process in Classroom: An Empirical Simulation Model," MPRA Paper 12146, University Library of Munich, Germany. [Downloadable!]
  4. Steven Kimbrough & Frederic Murphy, 2009. "Learning to Collude Tacitly on Production Levels by Oligopolistic Agents," Computational Economics, Springer, vol. 33(1), pages 47-78, February. [Downloadable!] (restricted)
  5. Giorgio Fagiolo & Paul Windrum & Alessio Moneta, 2006. "Empirical Validation of Agent Based Models: A Critical Survey," LEM Papers Series 2006/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy. [Downloadable!]
  6. Giorgio Fagiolo & Alessio Moneta & Paul Windrum, 2007. "A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems," Computational Economics, Springer, vol. 30(3), pages 195-226, October. [Downloadable!] (restricted)
  7. Myong-Hun Chang & Joseph E Harrington Jr, 2004. "Agent-Based Models of Organizations," Economics Working Paper Archive 515, The Johns Hopkins University,Department of Economics. [Downloadable!]
    Other versions:
  8. Shu-Heng Chen & Chung-Ching Tai, 2006. "On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer, vol. 28(1), pages 51-69, August. [Downloadable!] (restricted)
  9. Pierre Barbaroux & Cécile Godé-Sanchez, 2007. "Acquiring core capabilities through organizational learning: Illustrations from the U.S. military organizations," Post-Print hal-00293534_v1, HAL. [Downloadable!]
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This page was last updated on 2009-11-30.

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