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Analyzing coevolutionary games with dynamic fitness landscapes
March 21, 2016 Β· Declared Dead Β· π IEEE Congress on Evolutionary Computation
"No code URL or promise found in abstract"
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Authors
Hendrik Richter
arXiv ID
1603.06374
Category
q-bio.PE
Cross-listed
cs.GT,
cs.NE
Citations
9
Venue
IEEE Congress on Evolutionary Computation
Last Checked
3 months ago
Abstract
Coevolutionary games cast players that may change their strategies as well as their networks of interaction. In this paper a framework is introduced for describing coevolutionary game dynamics by landscape models. It is shown that coevolutionary games invoke dynamic landscapes. Numerical experiments are shown for a prisoner's dilemma (PD) and a snow drift (SD) game that both use either birth-death (BD) or death-birth (DB) strategy updating. The resulting landscapes are analyzed with respect to modality and ruggedness
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