| Budget Amount *help |
¥43,550,000 (Direct Cost: ¥33,500,000、Indirect Cost: ¥10,050,000)
Fiscal Year 2017: ¥14,300,000 (Direct Cost: ¥11,000,000、Indirect Cost: ¥3,300,000)
Fiscal Year 2016: ¥14,300,000 (Direct Cost: ¥11,000,000、Indirect Cost: ¥3,300,000)
Fiscal Year 2015: ¥14,950,000 (Direct Cost: ¥11,500,000、Indirect Cost: ¥3,450,000)
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| Outline of Final Research Achievements |
The aim of this research is to deepen the automated negotiation theory and evaluation based on simulation on automated negotiations in the dispersed negotiation space. In this research, we clarified efficient utility models, negotiation strategies, and negotiation protocols. In particular, we achieved the following break-through results: (1) We proposed a new graph-based utility model which successfully represent very complex utility spaces. (2) We proved that meta negotiation strategy can work well in the particular group of negotiation agents. (3) We implemented a new negotiation simulation environment which can use machine learning technologies. (4) We continuously held the ANAC international automated negotiation competitions where we examined the advantage of the proposed models, strategies, and protocols.
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