Simple adaptive strategy wins the prisoner's dilemma.

A CAS for Finding the Best Strategy for Prisoner’s Dilemma

Prisoner’s Dilemma (PD) is a typical type of non-zero-sum game in game theory. Since first raised by Merrill Flood and Melvin Dresher in 1950’s, a lot of research has been done in this area, especially after Robert Axelrod introduced the concept of the iterated prisoner’s dilemma in his book “The Evolution of Cooperation” in 1984. In this project, we have explored a complex adaptive system (CAS...

A Reinforcement Learning Based Strategy for the Double-Game Prisoner's Dilemma

The Double-Game Prisoner’s Dilemma (DGPD) is a new game that incorporates the standard Prisoner’s Dilemma (PD) with the Social Game. DGPD provides a novel approach in modelling economic behaviours: in each round, players not only need to choose to cooperate or defect, but also need to adjust their weights for each basic game. As a result, traditional strategies for PD, e.g. Titfor-Tat, do not p...

Persistent Cognitive Error in Performance on the Monty Hall Dilemma

The Monty Hall Dilemma is a probability puzzle that is notorious for eliciting suboptimal decisions from humans. A participant is given a choice from among three doors, one of which conceals a valuable prize. After an initial selection, one of the remaining, nonwinning doors is opened, and the participant is given a chance to switch to the other unopened door. The probability of winning is high...

Emergence of cooperation through coevolving time scale in spatial prisoner's dilemma.

We study evolutionary prisoner's dilemma game by considering adaptive strategy-selection time scale among individuals according to a "win-slower, lose-faster" rule: if an individual successfully resists the invasion of an opponent, she is prone to hold her strategy for longer time through decreasing her strategy-selection time scale; otherwise, she increases the time scale because of losing. We...

Stochastic Adaptive Behavior for Prisoner's Dilemma