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Models of adaptive learning in game theory

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  • Jacques Durieu

    (CREG - Centre de recherche en économie de Grenoble - UPMF - Université Pierre Mendès France - Grenoble 2)

  • Philippe Solal

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

Abstract

By illuminating the philosophical roots of the various notions of knowledge employed by economists, this Handbook helps to disentangle conceptual and typological issues surrounding the debate on knowledge amongst economists. Wide-ranging in scope, it explores fundamental aspects of the relationship between knowledge and economics – such as the nature of knowledge, knowledge acquisition and knowledge diffusion.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Jacques Durieu & Philippe Solal, 2012. "Models of adaptive learning in game theory," Post-Print halshs-00667674, HAL.
    • Handle: RePEc:hal:journl:halshs-00667674
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    References listed on IDEAS

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    Cited by:

    1. Matteo G. Richiardi, 2017. "The Future of Agent-Based Modeling," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(2), pages 271-287, March.

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