Although human and animal behaviors are largely shaped by reinforcement and punishment, choices in social settings are also influenced by information about the knowledge and experience of other decision-makers. During competitive games, monkeys increased their payoffs by systematically deviating from a simple heuristic learning algorithm and thereby countering the predictable exploitation by their computer opponent. Neurons in the dorsomedial prefrontal cortex (dmPFC) signaled the animal’s recent choice and reward history that reflected the computer’s exploitative strategy. The strength of switching signals in the dmPFC also correlated with the animal’s tendency to deviate from the heuristic learning algorithm. Therefore, the dmPFC might provide control signals for overriding simple heuristic learning algorithms based on the inferred strategies of the opponent.
Neural correlates of strategic reasoning during competitive games
Hyojung Seo, Xinying Cai, Christopher H. Donahue, Daeyeol Lee
Science 17 October 2014:
Vol. 346 no. 6207 pp. 340-343
Via Complexity Digest