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An Automated Negotiation Technique for Self-interest Agents

عنوان مقاله: An Automated Negotiation Technique for Self-interest Agents
شناسه ملی مقاله: ACCSI12_201
منتشر شده در دوازدهمین کنفرانس سالانه انجمن کامپیوتر ایران در سال 1385
مشخصات نویسندگان مقاله:

Hassan Kkosravi - Department of Computer Science, Faculty of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran
Mohammad Shiri - Department of Computer Science, Faculty of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran
Hamid Khosravi - Department of Computer Science, Faculty of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran
Ehsan Iranmanesh - International Center for Science & High Technology and Environmental Science, Kerman, Iran

خلاصه مقاله:
Due to the rapid growth of electronic environments (such as internet) much research is currently being performed on autonomous trading mechanisms. Also in the last few years there has been an increasing interest from the agent community in the use of techniques from decision theory and game theory. Our paper connects theses two fields. In real world, when two agents negotiate, it seems rational that they emphasize on their highest priorities first. We give a strategy based on the 7 types presented by Raymund J. Lin and Seng-cho T. Cho u [7] in which an agent can gain more profit by sacrificing or delaying some high priority tasks. The focus of this paper is on negotiation of self interest agents.

کلمات کلیدی:
sacrificing types, self-interest agents, game theory, negotiation

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/44587/