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CMU-CS-03-197
Computer Science Department
School of Computer Science, Carnegie Mellon University
CMU-CS-03-197
Evolutionary Dynamics with
Large Aggregate Shocks
Daniel B. Neill
October 2003
CMU-CS-03-197.ps
CMU-CS-03-197.pdf
Keywords: Game theory, evolutionary games, large aggregate shocks
This paper examines a class of evolutionary models in which large shocks
cause frequent movement between short-term "stable" equilibria.
Mutations are rare in our model, but their effects are magnified by a
"spread process" which causes a finite proportion of the population to
initially adopt the entering strategy before the short-term selection
dynamics takes effect. We examine the long run invariant distribution for
a variety of games, under several different spread processes: most
interestingly, we find that cooperative strategies prevail in the long run
in the Finitely Repeated Prisoner's Dilemma game, contrary to the backward
induction solution. We also study equilibrium selection in 2x2 and NxN
coordination games, establishing conditions under which the risk-dominant
equilibrium is selected, and demonstrate rapid convergence to the long run
invariant distribution.
54 pages
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