Game theory and physics Export

@article{citeulike:941176, abstract = {Evolutionary game theory is designed to capture the essentials of the characteristic interactions among individuals. Its most prominent application is the quest for the origins and evolution of cooperation. The effects of population structures on the performance of behavioral strategies became apparent only in recent years and marks the advent of an intriguing link between apparently unrelated disciplines. Evolutionary game theory in structured populations reveals critical phase transitions that fall into the universality class of directed percolation on square lattices and mean-field-type transitions on regular small world networks and random regular graphs. We employ the prisoner's dilemma to discuss new insights gained in behavioral ecology using methods from physics. \©2005 American Association of Physics Teachers.}, author = {Hauert, Christoph and Szabo, Gyorgy}, citeulike-article-id = {941176}, citeulike-linkout-0 = {http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=AJPIAS000073000005000405000001&idtype=cvips&gifs=yes}, citeulike-linkout-1 = {http://link.aip.org/link/?AJP/73/405}, citeulike-linkout-2 = {http://dx.doi.org/10.1119/1.1848514}, doi = {10.1119/1.1848514}, journal = {American Journal of Physics}, keywords = {game, networks}, number = {5}, pages = {405--414}, posted-at = {2006-11-13 13:06:28}, priority = {2}, publisher = {AAPT}, title = {Game theory and physics}, url = {http://dx.doi.org/10.1119/1.1848514}, volume = {73}, year = {2005} }

TY - JOUR ID - citeulike:941176 L3 - citeulike-article-id:941176 N2 - Evolutionary game theory is designed to capture the essentials of the characteristic interactions among individuals. Its most prominent application is the quest for the origins and evolution of cooperation. The effects of population structures on the performance of behavioral strategies became apparent only in recent years and marks the advent of an intriguing link between apparently unrelated disciplines. Evolutionary game theory in structured populations reveals critical phase transitions that fall into the universality class of directed percolation on square lattices and mean-field-type transitions on regular small world networks and random regular graphs. We employ the prisoner's dilemma to discuss new insights gained in behavioral ecology using methods from physics. ©2005 American Association of Physics Teachers. IS - 5 JF - American Journal of Physics EP - 414 TI - Game theory and physics PB - AAPT VL - 73 SP - 405 KW - game KW - networks AU - Hauert, Christoph AU - Szabo, Gyorgy PY - 2005/// UR - http://dx.doi.org/10.1119/1.1848514 ER -