Feldman M W, Thomas E A
Department of Biological Sciences, Stanford University, CA 94305.
J Theor Biol. 1987 Oct 7;128(3):297-315. doi: 10.1016/s0022-5193(87)80073-5.
Iterated Prisoner's Dilemma models are proposed in which, at any trial, the probability of staying in the game depends on the outcome of the previous trial. If a player's choice depends on its own play (cooperate or defect) at the previous trial, it becomes possible for cooperative strategies to increase when rare in a population of egoists. A dynamic analysis is used to demonstrate that stable polymorphisms may result, and may involve more strategies than just Tit-for-Tat and all-Defect. The tendency for clustering among like strategists to enhance their initial increase when rare is also explored dynamically.
文中提出了重复囚徒困境模型,在任何一次试验中,留在游戏中的概率取决于前一次试验的结果。如果一个参与者的选择取决于其在前一次试验中的自身行为(合作或背叛),那么在利己主义者群体中,当合作策略罕见时,它就有可能增加。采用动态分析来证明可能会产生稳定的多态性,并且可能涉及比“以牙还牙”和“完全背叛”更多的策略。还动态探讨了同类策略者之间聚集的趋势,以便在罕见时增强其初始增长。