We present a simple model of distributed multi-agent multi-issued contract negotiation for open systems where interactions are competitive and information is private and not shared.We then investigate via simulations two different approximate optimization strategies and quantify the contribution and costs of each towards the quality of the solutions reached. To evaluate the role of knowledge the obtained results are compared to more cooperative strategies where agents share more information. Interesting social dilemmas emerge that suggest the design of incentive mechanisms. © Springer-Verlag Berlin Heidelberg 2002.
CITATION STYLE
Faratin, P., Klein, M., Sayama, H., & Bar-Yam, Y. (2002). Simple negotiating agents in complex games: Emergent equilibria and dominance of strategies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2333 LNAI, pp. 367–376). Springer Verlag. https://doi.org/10.1007/3-540-45448-9_27
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