|   | CMU-CS-03-197 Computer Science Department
 School of Computer Science, Carnegie Mellon University
 
    
     
 CMU-CS-03-197
 
Evolutionary Dynamics withLarge Aggregate Shocks
 
Daniel B. Neill 
October 2003  
CMU-CS-03-197.psCMU-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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