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| Titel: |
Acquisition of a concession strategy in multi-issue negotiation |
| Auteur: |
Yasumura, Yoshiaki Kamiryo, Takahiko Yoshikawa, Shohei Uehara, Kuniaki |
| Verschenen in: |
Web intelligence and agent systems |
| Paginering: | Jaargang 7 (2009) nr. 2 pagina's 161-171 |
| Jaar: |
2009-04-22 |
| Inhoud: |
This paper presents a method for acquiring a concession strategy of an agent in multi-issue negotiation. This method learns how to make a concession to an opponent for realizing win-win negotiation. To learn the concession strategy, we adopt reinforcement learning. First, an agent receives a proposal from an opponent. The agent recognizes a negotiation state using the difference between their proposals and the difference between their concessions. According to the state, the agent makes a proposal by reinforcement learning. A reward of the learning is a profit of an agreement and a punishment of negotiation breakdown. The experimental results showed that the agents could acquire the negotiation strategy that avoids negotiation breakdown and increases profits of an agreement. As a result, agents can acquire the action policy that strikes a balance between cooperation and competition. |
| Uitgever: |
IOS Press |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 2 van 65 gevonden artikelen
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