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Coevolutionary game dynamics is the result of players that may change theirstrategies and their network of interaction. For such games, and based oninterpreting strategies as configurations, strategy-to-payoff maps can bedefined for every interaction network, which opens up to derive gamelandscapes. This paper presents an analysis of these game landscapes by theirinformation content. By this analysis, we particularly study the effect of arescaled payoff matrix generalizing social dilemmas and differences betweenwell-mixed and structured populations.

Information content of coevolutionary game landscapes