Effective Automated Negotiation Based on Issue Dendrograms and Partial Agreements
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Negotiation is both an important topic in multi-agent systems research and an important aspect of daily life. Many real-world negotiations are complex and involve multiple interdependent issues, therefore, there has been increasing interest in such negotiations. Existing nonlinear automated negotiation protocols have difficulty in finding solutions when the number of issues and agents is large. In automated negotiations covering multiple independent issues, it is useful to separate out the issues and reach separate agreements on each in turn. In this paper, we propose an effective approach to automated negotiations based on recursive partitioning using an issue dendrogram. A mediator first finds partial agreements in each sub-space based on bids from the agents, then combines them to produce the final agreement. When it cannot find a solution, our proposed method recursively decomposes the negotiation sub-problems using an issue dendrogram. In addition, it can improve the quality of agreements by considering previously-found partial consensuses. We also demonstrate experimentally that our protocol generates higher-optimality outcomes with greater scalability than previous methods.
KeywordsMulti-issue negotiation issue dendrogram partial agreement
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This work was supported by CREST, JST (JPMJCR15E1) and JSPS KAKENHI (15H01703).
- Fujita, K. (2012). The effect of grouping issues in multiple interdependent issues negotiation based on cone-constraints. In: Ito T., Zhang M., Robu V., Fatima S. & Matsuo T. (eds), New Trends in Agent-Based Complex Automated Negotiations, Springer, pp 39–55.Google Scholar
- Fujita, K. (2015). Automated negotiations based on monotonic tree representations. In: Fujita K., Ito T., Zhang M. & Robu V. (eds) Next Frontier in Agent-based Complex Automated Negotiation, Springer Japan, pp 59–72.Google Scholar
- Hoz, de la E., Lopez-Carmona, M.A., Klein M. & Marsa-Maestre I. (2012). Hierarchical clustering and linguistic mediation rules for multiagent negotiation. In: Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2012), pp 1259–1260.Google Scholar
- Ito, T., Hattori, H. & Klein, M. (2007). Multi-issue negotiation protocol for agents: Exploring nonlinear utility spaces. In: Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-2007), pp 1347–1352.Google Scholar
- Kakimoto, S. & Fujita, K. (2017). Effective automated negotiations based on recursive partitioning by issue dendrogram. In: The Tenth International Workshop on Agent-based Complex Automated Negotiations (ACAN2017), (This article hasn’t been published.).Google Scholar
- Lopez-Carmona, M., Marsa-Maestre, I., Klein, M. & Ito, T. (2010). Addressing stability issues in mediated complex contract negotiations for constraint-based, non-monotonic utility spaces. Autonomous Agents and Multi-Agent Systems pp 1–51.Google Scholar
- Marsa-Maestre, I., Lopez-Carmona, M.A., Velasco, J.R. & de la, Hoz E. (2010). Avoiding the prisoner’s dilemma in auction-based negotiations for highly rugged utility spaces. In: Proceedings of the Ninth International Joint Conference on Autonomous Agents and Multi-agent Systems (AAMAS-2010), pp 425–432.Google Scholar
- Zhang, XS., Klein, M. & Marsa-Maestre, I. (2014). Scalable complex contract negotiation with struc-tured search and agenda management. In: Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-2014), pp 1507–1513.Google Scholar