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Evolutionary game theory
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=== Spatial games === Geographic factors in evolution include [[gene flow]] and [[horizontal gene transfer]]. Spatial game models represent geometry by putting contestants in a lattice of cells: contests take place only with immediate neighbours. Winning strategies take over these immediate neighbourhoods and then interact with adjacent neighbourhoods. This model is useful in showing how pockets of co-operators can invade and introduce altruism in the Prisoners Dilemma game,<ref>{{cite book |author=Nowak, Martin |title=Evolutionary Dynamics |url=https://archive.org/details/evolutionarydyna00nowa_778 |url-access=limited |date=2006 |publisher=Harvard University Press |pages=[https://archive.org/details/evolutionarydyna00nowa_778/page/n165 152]β154 |isbn=978-0-674-02338-3}}</ref> where Tit for Tat (TFT) is a Nash Equilibrium but NOT also an ESS. Spatial structure is sometimes abstracted into a general network of interactions.<ref>{{Cite journal | url=http://egtheory.wordpress.com/2012/03/21/spatial-structure/ | title=Statistical mechanics of complex networks| journal=Reviews of Modern Physics| volume=74| issue=1| pages=47β97| year=2002| last1=Albert| first1=Reka| last2=Barabasi| first2=Albert-Laszlo| doi=10.1103/RevModPhys.74.47| citeseerx=10.1.1.242.4753| bibcode=2002RvMP...74...47A| arxiv=cond-mat/0106096| s2cid=60545}}</ref><ref>H. Tembine, E. Altman, R. El Azouzi, Y. Hayel: Evolutionary Games in Wireless Networks. IEEE Transactions on Systems, Man, and Cybernetics, Part B 40(3): 634β646 (2010)</ref> This is the foundation of [[evolutionary graph theory]].
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