Abstract
A series of numerical simulations of a symmetric game on a network examined whether payoff matrix noise promotes cooperation, as reported initially by Perc [New J. Phys. 8, 22 (2006)]. Agents have no memory (they offer cooperation, , or defection, ). We assume that the network is time invariable. The effect of payoff matrix noise (PMN) is measured by a simulated payoff difference between a normal network game and a network game with PMN. The effect of PMN appears only when a local strategy adaptation is implemented (for example, a network game with imitation dynamics). The influence of PMN becomes more significant with a larger stochastic deviation, and less significant in a larger degree network. One reason for PMN’s effectiveness is the local strategy adaptation mechanism, which helps both the preservation and fixation of agents, and not that the payoff matrix noise makes a dilemma game into a Trivial (dilemma-free) game.
- Received 26 June 2007
DOI:https://doi.org/10.1103/PhysRevE.76.041130
©2007 American Physical Society