পদ্ধতির তুলনা করুন

	বিবর্তনীয় ক্রীড়া তত্ত্ব	ন্যাশ ভারসাম্য
ক্ষেত্র	খেলা তত্ত্ব	খেলা তত্ত্ব
পরিবার	Machine learning	Machine learning
উদ্ভবের বছর	1973	1950
প্রবর্তক	John Maynard Smith, George Price	John Nash
ধরন	algorithm	algorithm
মৌলিক উৎস	Smith, J. M., & Price, G. R. (1973). The logic of animal conflict. Nature, 246(5427), 15-18.	Nash, J. F. (1950). Equilibrium points in N-person games. Proceedings of the National Academy of Sciences, 36(1), 48-49.
অপর নাম	ESS, Evolutionarily Stable Strategy, Replicator Dynamics	Lemke-Howson Equilibrium, Completely Labeled Pair
সম্পর্কিত	4	4
সারসংক্ষেপ	Evolutionary Game Theory applies game-theoretic reasoning to biological evolution and social dynamics, where populations of agents with different strategies interact repeatedly. Introduced by John Maynard Smith and George Price in 1973, the framework uses the concept of Evolutionarily Stable Strategies (ESS) to identify strategy distributions that cannot be invaded by mutant strategies. Replicator dynamics describe how strategy frequencies evolve over time when reproduction is proportional to payoff success.	Nash Equilibrium is a game-theoretic solution concept where no player can unilaterally deviate to improve their payoff. Formalized by John Nash in 1950, the Lemke-Howson algorithm computationally finds equilibria in bimatrix games by identifying completely labeled vertex pairs in the strategy polytopes.