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From Classroom Experiments to Computer Code


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  • Arianna Dal Forno


  • Ugo Merlone



A carefully designed experimental procedure may be an invaluable source for gathering empirical data and a key to grasping the heterogeneity of human behavior, which is of the utmost importance when modeling artificial agents. This paper proposes an alternative way of inferring models of behavior through a different use of data gathered in classroom experiments. By way of example, we report and then discuss the results and the computer code obtained from the analysis of the behavior of subjects in two classroom experiments.

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Bibliographic Info

Article provided by Journal of Artificial Societies and Social Simulation in its journal Journal of Artificial Societies and Social Simulation.

Volume (Year): 7 (2004)
Issue (Month): 3 ()
Pages: 2

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Handle: RePEc:jas:jasssj:2003-40-3

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Related research

Keywords: Agent Behavior; Experiments; Prisoner Dilemma; Harvesting Dilemma; Bounded Rationality;


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Cited by:
  1. Arianna Dal Forno & Ugo Merlone, 2014. "Leaders emergence in artificial populations: the role of networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 1853-1865, July.
  2. Ugo Merlone & Daren Sandbank & Ferenc Szidarovszky, 2013. "Equilibria analysis in social dilemma games with Skinnerian agents," Mind and Society: Cognitive Studies in Economics and Social Sciences, Fondazione Rosselli, vol. 12(2), pages 219-233, November.


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