A two-step approach to building bilateral consensus between agents based on relationship learning theory |
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Authors: | Ohbyung Kwon |
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Affiliation: | aSchool of International Management, Yongin, Kyunghee University, Gyeonggi-do, Republic of Korea |
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Abstract: | Researchers are increasingly focusing on the agent based approach to transaction support in ubiquitous commerce. These agents work autonomously to maximize utility on the user’s behalf. In the case of a cooperative game, rather than a win–lose zero-sum game, agents may negotiate with each other or have a negotiating agent provide a suggestion that can be reasonably accepted by the dyad to build a consensus. In this paper we propose a novel methodology that increases agent performance in terms of costs associated with building consensus and successful negotiation rates. To do so, we develop a two-step approach: joint learning and negotiation to consensus building. We also conduct an experimental study to show the feasibility of the methodology. |
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Keywords: | Joint learning theory Consensus building Negotiation Agent technology |
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