Game theory and physics

被引:429
作者
Hauert, C
Szabó, G
机构
[1] Res Inst Tech Phys & Mat Sci, H-1525 Budapest, Hungary
[2] Univ British Columbia, Dept Zool, Vancouver, BC V6T 1Z4, Canada
[3] Univ British Columbia, Dept Math, Vancouver, BC V6T 1Z4, Canada
关键词
D O I
10.1119/1.1848514
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
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. (c) 2005 American Association of Physics Teachers.
引用
收藏
页码:405 / 414
页数:10
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