DocumentCode :
42580
Title :
Complex Coevolutionary Dynamics—Structural Stability and Finite Population Effects
Author :
Tino, Peter ; Chong, Siang Yew ; Yao, Xiu
Author_Institution :
Schoolof Computer Science, University of Birmingham, Edgbaston, Birmingham, U.K.
Volume :
17
Issue :
2
fYear :
2013
fDate :
Apr-13
Firstpage :
155
Lastpage :
164
Abstract :
Unlike evolutionary dynamics, coevolutionary dynamics can exhibit a wide variety of complex regimes. This has been confirmed by numerical studies, e.g., in the context of evolutionary game theory (EGT) and population dynamics of simple two-strategy games with various types of replication and selection mechanisms. Using the framework of shadowing lemma, we study to what degree can such infinite population dynamics: 1) be reliably simulated on finite precision computers; and 2) be trusted to represent coevolutionary dynamics of possibly very large, but finite, populations. In a simple EGT setting of two-player symmetric games with two pure strategies and a polymorphic equilibrium, we prove that for (\\mu,\\lambda ) , truncation, sequential tournament, best-of-group tournament, and linear ranking selections, the coevolutionary dynamics do not possess the shadowing property. In other words, infinite population simulations cannot be guaranteed to represent real trajectories or to be representative of coevolutionary dynamics of potentially very large, but finite, populations.
Keywords :
Context; Games; Injuries; Shadow mapping; Sociology; Statistics; Trajectory; Coevolutionary dynamics; evolutionary game theory; shadowing lemma;
fLanguage :
English
Journal_Title :
Evolutionary Computation, IEEE Transactions on
Publisher :
ieee
ISSN :
1089-778X
Type :
jour
DOI :
10.1109/TEVC.2013.2244897
Filename :
6449315
Link To Document :
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