McCabe K A, Rassenti S J, Smith V L
Economic Science Laboratory, University of Arizona, Tucson 85721-0108, USA.
Proc Natl Acad Sci U S A. 1996 Nov 12;93(23):13421-8. doi: 10.1073/pnas.93.23.13421.
We examine decision making in two-person extensive form game trees using nine treatments that vary matching protocol, payoffs, and payoff information. Our objective is to establish replicable principles of cooperative versus noncooperative behavior that involve the use of signaling, reciprocity, and backward induction strategies, depending on the availability of dominated direct punishing strategies and the probability of repeated interaction with the same partner. Contrary to the predictions of game theory, we find substantial support for cooperation under complete information even in various single-play treatments.
我们使用九种处理方式来研究两人扩展型博弈树中的决策制定,这些处理方式在匹配协议、收益和收益信息方面存在差异。我们的目标是建立关于合作与非合作行为的可复制原则,这些原则涉及信号传递、互惠和逆向归纳策略的运用,具体取决于占优直接惩罚策略的可用性以及与同一伙伴重复互动的概率。与博弈论的预测相反,我们发现即使在各种单次博弈处理方式下,在完全信息条件下也有大量证据支持合作。