Inferring strategies from observations in long iterated Prisoner's dilemma experiments.

ABSTRACT: While many theoretical studies have revealed the strategies that could lead to and maintain cooperation in the Iterated Prisoner's dilemma, less is known about what human participants actually do in this game and how strategies change when being confronted with anonymous partners in each round. Previous attempts used short experiments, made different assumptions of possible strategies, and led to very different conclusions. We present here two long treatments that differ in the partner matching strategy used, i.e. fixed or shuffled partners. Here we use unsupervised methods to cluster the players based on their actions and then Hidden Markov Model to infer what the memory-one strategies are in each cluster. Analysis of the inferred strategies reveals that fixed partner interaction leads to

SUBMITTER: Montero-Porras E 

PROVIDER: S-EPMC9085774 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature