Information Geometry and Evolutionary Game Theory Export

@article{citeulike:6092278, abstract = {The Shahshahani geometry of evolutionary game theory is realized as the information geometry of the simplex, deriving from the Fisher information metric of the manifold of categorical probability distributions. Some essential concepts in evolutionary game theory are realized information-theoretically. Results are extended to the Lotka-Volterra equation and to multiple population systems.}, archivePrefix = {arXiv}, author = {Harper, Marc}, citeulike-article-id = {6092278}, citeulike-linkout-0 = {http://arxiv.org/abs/0911.1383}, citeulike-linkout-1 = {http://arxiv.org/pdf/0911.1383}, day = {9}, eprint = {0911.1383}, keywords = {game-theory, information-geometry}, month = {Nov}, posted-at = {2009-11-10 07:34:22}, priority = {2}, title = {Information Geometry and Evolutionary Game Theory}, url = {http://arxiv.org/abs/0911.1383}, year = {2009} }

TY - JOUR ID - citeulike:6092278 L3 - citeulike-article-id:6092278 N2 - The Shahshahani geometry of evolutionary game theory is realized as the information geometry of the simplex, deriving from the Fisher information metric of the manifold of categorical probability distributions. Some essential concepts in evolutionary game theory are realized information-theoretically. Results are extended to the Lotka-Volterra equation and to multiple population systems. TI - Information Geometry and Evolutionary Game Theory KW - game-theory KW - information-geometry AU - Harper, Marc PY - 2009/Nov/09/ UR - http://arxiv.org/abs/0911.1383 ER -