Information Content of Coevolutionary Game Landscapes

Coevolutionary game dynamics is the result of players that may change their strategies and their network of interaction. For such games, and based on interpreting strategies as configurations, strategy-to-payoff maps can be defined for every interaction network, which opens up to derive game landscapes. This paper presents an analysis of these game landscapes by their information content. By this analysis, we particularly study the effect of a rescaled payoff matrix generalizing social dilemmas and differences between well-mixed and structured populations.

• Publication year

  2018

• Venue

  IEEE Congress on Evolutionary Computation

• Publication date

  2018-03-20

• Fields of study

  Biology, Mathematics, Physics, Computer Science

• Identifiers
  DOI 10.1109/CEC.2018.8477780arXiv 1803.07307
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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