Reinforcement learning accounts for moody conditional cooperation behavior: experimental results.

ABSTRACT: In social dilemma games, human participants often show conditional cooperation (CC) behavior or its variant called moody conditional cooperation (MCC), with which they basically tend to cooperate when many other peers have previously cooperated. Recent computational studies showed that CC and MCC behavioral patterns could be explained by reinforcement learning. In the present study, we use a repeated multiplayer prisoner's dilemma game and the repeated public goods game played by human participants to examine whether MCC is observed across different types of game and the possibility that reinforcement learning explains observed behavior. We observed MCC behavior in both games, but the MCC that we observed was different from that observed in the past experiments. In the present study, wheth

SUBMITTER: Horita Y 

PROVIDER: S-EPMC5223288 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature