Evolving specialisation, altruism, and group-level optimisation using tags
MABS'02 Proceedings of the 3rd international conference on Multi-agent-based simulation II
Self-adaptation strategies to favor cooperation
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I
| Hi-index | 0.00 |
Selfish agents in a multiagent system often behave suboptimal because they only intend to maximize their own profit. Therefore a dilemma occurs between the local optimum and the global optimum (i.e. optimizing the social welfare). We deal with a decision process based on multiple criteria to determine with whom to cooperate. We propose an imitation-based algorithm working locally on the agents and producing high levels of global cooperation. Without global knowledge the social welfare is maximized with the help of local decisions. These decisions are influenced by different meme values which are transmitted through the population.