Decision Making in Multi-agent Systems Based on the Evolutionary Game with Switching Probabilities

摘要: Much attention has been paid on exploring the solutions for cooperative dilemma in multi-agent systems. Thereinto, evolutionary game theory which describes is seen as an effective approach. Notably, many of previous works are based ideal hypothesis that individuals can feasibly obtain their neighbours’ payoffs to update strategies. Considering difficulty getting exact information about payoffs, we propose switching probabilities between strategies do not require payoffs. Here dynamics driven by a three-strategy model established. Results show steady state gaming system closely related with probability matrix. These findings give novel account decision making process systems, when strategy updating rule weakening assumption