Resolution of the stochastic strategy spatial prisoner's dilemma by means of particle swarm optimization

Details Resolution of the stochastic strategy spatial prisoner's dilemma by means of particle swarm optimization Resolution of the stochastic strategy spatial prisoner's dilemma by means of particle swarm optimization

2011-12-29

arxiv.org/abs/1112.6417v1

PLoS ONE 6 (2011) e21787

Physics

Physics and Society

12 pages, 4 figures; accepted for publication in PLoS ONE

Scientific paper

10.1371/journal.pone.0021787

We study the evolution of cooperation among selfish individuals in the stochastic strategy spatial prisoner's dilemma game. We equip players with the particle swarm optimization technique, and find that it may lead to highly cooperative states even if the temptations to defect are strong. The concept of particle swarm optimization was originally introduced within a simple model of social dynamics that can describe the formation of a swarm, i.e., analogous to a swarm of bees searching for a food source. Essentially, particle swarm optimization foresees changes in the velocity profile of each player, such that the best locations are targeted and eventually occupied. In our case, each player keeps track of the highest payoff attained within a local topological neighborhood and its individual highest payoff. Thus, players make use of their own memory that keeps score of the most profitable strategy in previous actions, as well as use of the knowledge gained by the swarm as a whole, to find the best available strategy for themselves and the society. Following extensive simulations of this setup, we find a significant increase in the level of cooperation for a wide range of parameters, and also a full resolution of the prisoner's dilemma. We also demonstrate extreme efficiency of the optimization algorithm when dealing with environments that strongly favor the proliferation of defection, which in turn suggests that swarming could be an important phenomenon by means of which cooperation can be sustained even under highly unfavorable conditions. We thus present an alternative way of understanding the evolution of cooperative behavior and its ubiquitous presence in nature, and we hope that this study will be inspirational for future efforts aimed in this direction.

Affiliated with

Also associated with

No associations

Rating

Resolution of the stochastic strategy spatial prisoner's dilemma by means of particle swarm optimization does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Resolution of the stochastic strategy spatial prisoner's dilemma by means of particle swarm optimization, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Resolution of the stochastic strategy spatial prisoner's dilemma by means of particle swarm optimization will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-334297