Marc Ereshefsky, Mohan Matthen, Matthew H. Slater, Alex Rosenberg, D. M. Kaplan, Kevin Js Zollman, Peter Vanderschraaf, J. McKenzie Alexander & Gordon Belot
Philosophy of Science 72 (1):86-113 (2005)
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Abstract |
We introduce a dynamic model for evolutionary games played on a network where strategy changes are correlated according to degree of influence between players. Unlike the notion of stochastic stability, which assumes mutations are stochastically independent and identically distributed, our framework allows for the possibility that agents correlate their strategies with the strategies of those they trust, or those who have influence over them. We show that the dynamical properties of evolutionary games, where such influence neighborhoods appear, differ dramatically from those where all mutations are stochastically independent, and establish some elementary convergence results relevant for the evolution of social institutions.
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DOI | 10.1086/428077 |
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Formal Methods in the Philosophy of Science.Leon Horsten & Igor Douven - 2008 - Studia Logica 89 (2):151-162.
Mathematical Explanations of the Rainbow.Christopher Pincock - 2011 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 42 (1):13-22.
Organicism and Reductionism in Cancer Research: Towards a Systemic Approach.Christophe Malaterre - 2007 - International Studies in the Philosophy of Science 21 (1):57 – 73.
Social Deliberation: Nash, Bayes, and the Partial Vindication of Gabriele Tarde.J. McKenzie Alexander - 2009 - Episteme 6 (2):164-184.
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