Coordination via genetic learning
Computational Economics - Special issue: genetic algorithms
Self-organization of markets: an example of a computational approach
Computational Economics - Special issue: genetic algorithms
Hidden order: how adaptation builds complexity
Hidden order: how adaptation builds complexity
An introduction to genetic algorithms
An introduction to genetic algorithms
Economic simulations in Swarm: agent-based modelling and object programming
Economic simulations in Swarm: agent-based modelling and object programming
The Influence of Evolutionary Selection Schemes on the Iterated Prisoner's Dilemma
Computational Economics
Evolutionary computation: comments on the history and current state
IEEE Transactions on Evolutionary Computation
Robust Evolutionary Algorithm Design for Socio-economic Simulation
Computational Economics
Tag Mechanisms Evaluated for Coordination in Open Multi-Agent Systems
Engineering Societies in the Agents World VIII
Repeated auctions with complementarities
AMEC'05 Proceedings of the 2005 international conference on Agent-Mediated Electronic Commerce: designing Trading Agents and Mechanisms
| Hi-index | 0.00 |
The evolution of cooperation in a system of agents playing the iterated prisoner's dilemma (IPD) is investigated. We present results for the standard 2-person IPD as well as the more general N-person IPD (NIPD) game. In our computational model, agents have visible tags and choose whether to interact or not based upon these. We consider the evolutionary stability of the evolving populations. We extend previous work by introducing sexual reproduction (recombination) of agents and by analyzing its influence on the evolving populations. We observed the occasional formation of very stable cooperative societies, as opposed to previous results without sexual reproduction. These cooperative societies are able to resist invasions of "mimics" (defecting agents with the tag of a cooperating agent).