Information content of coevolutionary game landscapes
Populations and Evolution
2018-03-21 v1 Neural and Evolutionary Computing
Physics and Society
Abstract
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.
Keywords
Cite
@article{arxiv.1803.07307,
title = {Information content of coevolutionary game landscapes},
author = {Hendrik Richter},
journal= {arXiv preprint arXiv:1803.07307},
year = {2018}
}