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Learning in Different Social Contests

Author

Listed:
  • Marco Novarese

    (Centre for Cognitive Economics)

Abstract

This paper aims at analysing the effects of learning on the individual behaviour in an experiment that requires cooperation and coordination within teams. Using artificial agents, different social contests are created, as training environments. The results confirm previous findings (on the tendency to repeat the strategies that proved to be successful and to apply them also in other situations) and propose new hypothesis. Learning is not only based on a mechanical repetition of past choices, but also on reflection, imitation and on the attitude to build a model of the world. Besides the paper empirically tests the role of satisfaction in the routinization (this is one of the first empirical attempt of this kind). The training in an unfair and difficult environment leads some individuals to reinforce also strategies that have not been successful, but that involved emotions. Another contest seems not to determine detectable effects.

Suggested Citation

  • Marco Novarese, 2004. "Learning in Different Social Contests," Game Theory and Information 0405008, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpga:0405008
    Note: Type of Document - pdf; pages: 22. Paper prepared for the Conference 'Cross-Fertilization Between Economics and Psychology', Sabe and Iarep joint meeting, Philadelphia, July, 2004 Session Number F1 “Cognitive Economics 1” A preliminary version of this paper has been presented at the II Conference of the Italian Association for Cognitive Economics, held in Ivrea (To), March, 2004
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    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/game/papers/0405/0405008.pdf
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    More about this item

    Keywords

    Learning; cognitive economics; experimental economics; cooperation; coordination; satisfaction;
    All these keywords.

    JEL classification:

    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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