Description

Book Synopsis
This 'state-of-the-art' collection of essays presents some of the best contemporary research into the dynamical processes underlying the formation, maintenance, metamorphosis and dissolution of norms. The volume combines formal modelling with more traditional analysis.

Table of Contents
1. The evolution of strategies in the iterated prisoner's dilemma Robert Axelrod; 2. Learning to co-operate Cristina Bicchieri; 3. On the dynamics of social norms Pier Luigi Sacco; 4. Learning and efficiency in common interest signalling games David Canning; 5. Learning on a Torus Luca Anderlini and Antonella Ianni; 6. Evolutive vs. naive Bayesian learning Immanuel M. Bomze and Jurgen Eichberger; 7. Learning and mixed strategy equilibria in evolutionary games Vincent P. Crawford; 8. Bayesian learning in games: a non-Bayesian perspective J. S. Jordan; 9. Savage-Bayesian agents play a repeated game Yaw Nyarko; 10. Chaos and the explanatory significance of equilibrium: strange attractors in evolutionary game theory Brian Skyrms.

The Dynamics of Norms

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    A Paperback by Cristina Bicchieri, Richard Jeffrey, Brian Skyrms

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      Publisher: Cambridge University Press
      Publication Date: 4/9/2009 12:00:00 AM
      ISBN13: 9780521108744, 978-0521108744
      ISBN10: 0521108748

      Description

      Book Synopsis
      This 'state-of-the-art' collection of essays presents some of the best contemporary research into the dynamical processes underlying the formation, maintenance, metamorphosis and dissolution of norms. The volume combines formal modelling with more traditional analysis.

      Table of Contents
      1. The evolution of strategies in the iterated prisoner's dilemma Robert Axelrod; 2. Learning to co-operate Cristina Bicchieri; 3. On the dynamics of social norms Pier Luigi Sacco; 4. Learning and efficiency in common interest signalling games David Canning; 5. Learning on a Torus Luca Anderlini and Antonella Ianni; 6. Evolutive vs. naive Bayesian learning Immanuel M. Bomze and Jurgen Eichberger; 7. Learning and mixed strategy equilibria in evolutionary games Vincent P. Crawford; 8. Bayesian learning in games: a non-Bayesian perspective J. S. Jordan; 9. Savage-Bayesian agents play a repeated game Yaw Nyarko; 10. Chaos and the explanatory significance of equilibrium: strange attractors in evolutionary game theory Brian Skyrms.

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