Evolution of Cooperation among Mobile Agents
arXiv:1006.0772 · doi:10.1016/j.physa.2011.01.004
Abstract
We study the effects of mobility on the evolution of cooperation among mobile players, which imitate collective motion of biological flocks and interact with neighbors within a prescribed radius . Adopting the prisoner's dilemma game and the snowdrift game as metaphors, we find that cooperation can be maintained and even enhanced for low velocities and small payoff parameters, when compared with the case that all agents do not move. But such enhancement of cooperation is largely determined by the value of , and for modest values of , there is an optimal value of velocity to induce the maximum cooperation level. Besides, we find that intermediate values of or initial population densities are most favorable for cooperation, when the velocity is fixed. Depending on the payoff parameters, the system can reach an absorbing state of cooperation when the snowdrift game is played. Our findings may help understanding the relations between individual mobility and cooperative behavior in social systems.
15 pages, 5 figures
References in corpus (21)
- Novel type of phase transition in a system of self-driven particles
- Understanding individual human mobility patterns
- Evolutionary games on graphs
- The scaling laws of human travel
- Social diversity and promotion of cooperation in the spatial prisoner's dilemma game
- Dynamical Organization of Cooperation in Complex Topologies
- Coevolution of teaching activity promotes cooperation
- Resolving social dilemmas on evolving random networks
- Does mobility decrease cooperation?
- Making new connections towards cooperation in the prisoner's dilemma game
- Promoting cooperation in social dilemmas via simple coevolutionary rules
- Complex cooperative networks from evolutionary preferential attachment
- Emergence of multilevel selection in the prisoner's dilemma game on coevolving random networks
- Randomness enhances cooperation: a resonance type phenomenon in evolutionary games
- Random mobility and spatial structure often enhance cooperation
- A system of mobile agents to model social networks
- New aspects of the continuous phase transition in the scalar noise model (SNM) of collective motion
- Diversity of reproduction time scale promotes cooperation in spatial prisoner's dilemma games
- Selection of dynamical rules in spatial Prisoner's Dilemma games
- Coevolution of strategies and update rules in the Prisoner's Dilemma game on complex networks
- Phase transitions induced by complex nonlinear noise in a system of self-propelled agents