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Summary: Acquisition of General Adaptive Features
by Evolution.
Dan Ashlock1
and John E. Mayfield2
1
Iowa State University, Department of Mathematics
Ames, Iowa, 50010
danwell@iastate.edu
2
Iowa State University, Department of Zoology and Genetics
Ames, Iowa, 50010
jemayf@iastate.edu
Abstract. We investigate the following question. Do populations of
evolving agents adapt only to their recent environment or do general
adaptive features appear over time? We find statistically significant ap-
pearance of general adaptive features in a spatially distributed popula-
tion of prisoner's dilemma playing agents in a noisy environment. Mul-
tiple populations are evolved in an evolutionary algorithm structured
as a cellular automaton with states drawn from a rich set of prisoner's
dilemma strategies. Populations are sampled early and at the end of a
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