囚徒困境
困境
超理性
旅行者困境
随机博弈
数理经济学
相互信息
博弈论
心理学
计算机科学
社会心理学
人工智能
数学
认识论
重复博弈
哲学
正常形式游戏
作者
Hazem Alshaikhmubarak,David Hales,Maria Kogelnik,Molly Schwarz,C. Kent Strauss
标识
DOI:10.1007/s40881-024-00167-5
摘要
Abstract We experimentally study how mutual payoff information affects strategic play. Subjects play the Prisoner's Dilemma or Stag Hunt game against randomly re-matched opponents under two information treatments. In our partial-information treatment, subjects are shown only their own payoff structure, while in our full-information treatment they are shown both their own and their opponent's payoff structure. In both treatments, they receive feedback on their opponent's action after each round. We find that mutual payoff information initially facilitates reaching the socially optimal outcome in both games. Play in the Prisoner's Dilemma converges toward the unique Nash equilibrium of the game under both information treatments, while in the Stag Hunt mutual payoff information has a substantial impact on play and equilibrium selection in all rounds of the game. Belief-learning model estimations and simulations suggest these effects are driven by both initial play and the way subjects learn.
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