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Evolutionary dynamics ofn-player games played by relatives
Author(s) -
Hisashi Ohtsuki
Publication year - 2014
Publication title -
philosophical transactions of the royal society b biological sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.753
H-Index - 272
eISSN - 1471-2970
pISSN - 0962-8436
DOI - 10.1098/rstb.2013.0359
Subject(s) - kin selection , inclusive fitness , selection (genetic algorithm) , perspective (graphical) , association (psychology) , evolutionary dynamics , evolutionary game theory , natural selection , population , psychology , social psychology , game theory , evolutionary biology , computer science , sociology , biology , mathematical economics , mathematics , artificial intelligence , demography , psychotherapist
One of the core concepts in social evolution theory is kin selection. Kin selection provides a perspective to understand how natural selection operates when genetically similar individuals are likely to interact. A family-structured population is an excellent example of this, where relatives are engaged in social interactions. Consequences of such social interactions are often described in game-theoretical frameworks, but there is a growing consensus that a naive inclusive fitness accounting with dyadic relatedness coefficients are of limited use when non-additive fitness effects are essential in those situations. Here, I provide a general framework to analyse multiplayer interactions among relatives. Two important results follow from my analysis. First, it is generally necessary to know the n-tuple genetic association of family members when n individuals are engaged in social interactions. However, as a second result, I found that, for a special class of games, we need only measures of lower-order genetic association to fully describe its evolutionary dynamics. I introduce the concept of degree of the game and show how this degree is related to the degree of genetic association.

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