Abstract
Multi-lateral multi-issue closed negotiation is an important class of real-life negotiations. Negotiation problems usually have constraints, such as an unknown opponent’s utility in real time or time discounting. Recently, the attention in this field has shifted from bilateral to multi-lateral approaches. In multi-lateral negotiations, agents need to simultaneously estimate the utility functions of more than two agents. In this chapter, we propose an estimating method that uses simple weighted functions by counting the opponent’s evaluation value for each issue. For multi-lateral negotiations, our agent considers some utility functions as the ‘single’ utility function by weighted-summing them. We experimentally compared the individual utility and the social welfare among some simple weighted functions. In addition, we compared the negotiation efficiency of our proposed agent with ten state-of-the-art negotiation agents that reached the final round of ANAC-2015.
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Kakimoto, S., Fujita, K. (2017). Preliminary Estimating Method of Opponent’s Preferences Using Simple Weighted Functions for Multi-lateral Closed Multi-issue Negotiations. In: Bai, Q., Ren, F., Fujita, K., Zhang, M., Ito, T. (eds) Multi-agent and Complex Systems. Studies in Computational Intelligence, vol 670. Springer, Singapore. https://doi.org/10.1007/978-981-10-2564-8_13
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DOI: https://doi.org/10.1007/978-981-10-2564-8_13
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