| Download | - View accepted manuscript: Detecting Opponent Concessions in Multi-Issue Automated Negotiation (PDF, 341 KiB)
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| Author | Search for: Buffett, Scott; Search for: Spencer, Bruce; Search for: Comeau, Lucas; Search for: Fleming, Michael |
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| Format | Text, Article |
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| Conference | The 8th International Conference on Electronic Commerce (ICEC'06), August 14, 2006, Fredericton, New Brunswick, Canada |
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| Subject | automated negotiation; preferences; learning; mutli-issue negotiation; negotiation protocols; negotiation strategies |
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| Abstract | An agent engaged in multi-issue automated negotiation can benefit greatly from learning about its opponent's preferences. Knowledge of the opponent's preferences can help the agent not only to find mutually acceptable agreements more quickly, but also to negotiate deals that are better for the agent in question. In this paper, we describe a new technique for learning about an opponent's preferences by observing its history of offers in a negotiation. Patterns in the similarity between the opponent's offers and our own agent's offers are used to determine the likelihood that the opponent is making a concession at each stage in the negotiation. These probabilities of concession are then used to determine the opponent's most likely preference relation over all offers. Experimental results show that our technique significantly outperforms a previous method that assumes that a negotiation agent will always make concessions during the course of a negotiation. |
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| Publication date | 2006 |
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| In | |
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| Language | English |
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| NRC number | NRCC 48552 |
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| NPARC number | 8913751 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 65e889f3-f32d-41ac-8acf-97f1817b7d3a |
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| Record created | 2009-04-22 |
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| Record modified | 2020-10-09 |
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