A Baseline for Nonlinear Bilateral Negotiations: The full results of the agents competing in ANAC 2014
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Reyhan Aydoğan, Catholijn M. Jonker, Katsuhide Fujita, Tim Baarslag, Takayuki Ito, Rafik Hadfi and Kohei Hayakawa
In the past few years, there is a growing interest in automated negotiationin
which software agents facilitate negotiation on behalf of their users and try to reach
joint agreements. The potential value of developing such mechanisms becomes
enormous when negotiation domain is too complex for humans to find agreements (e.g.
e-commerce) and when software components need to reach agreements to work
together (e.g. web-service composition). Here, one of the major challenges is to design
agents that are able to deal with incomplete information about their opponents in
negotiation as well as to effectively negotiate on their users’ behalves. To facilitate the
research in this field, an automated negotiating agent competition has been organized
yearly. This paper introduces the research challenges in Automated Negotiating Agent
Competition (ANAC) 2014 and explains the competition set up and results.
Furthermore, a detailed analysis of the best performing five agent has been examined.
Automated Negotiation, Nonlinear Utility Functions, Agent
Deaparment of Computer Science, Özyeğin University, Istanbul,Turkey