کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
386682 | 660889 | 2009 | 9 صفحه PDF | دانلود رایگان |
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.
Journal: Expert Systems with Applications - Volume 36, Issue 9, November 2009, Pages 11957–11965