Affiliations: [a] School of Techno-Business Administration Nagoya Institute of Technology/ Visiting Student, Center for Collective Intelligence, Sloan School of Management, Massachusetts Institute of Technology, Gokiso, Showa-ku, Nagoya, Aichi, Japan | [b] Visiting Scholar, Center for Collective Intelligence, Sloan School of Management, Massachusetts Institute of Technology/School of Techno-Business Administration, Department of Computer Science and Engineering, Nagoya Institute of Technology/Researcher, PREST, Japan Science and Technology Agency (JST), Japan | [c] Center for Collective Intelligence MIT Sloan School of Management | [x] University of Wollongong, Wollongong, NSW 2522, Australia | [y] Nagoya Institute of Technology, Gokiso, Showa, Nagoya 466-8555, Japan
Abstract: Multi-issue negotiation protocols represent a promising field since most negotiation problems in the real world involve multiple issues. Our work focuses on negotiation with interdependent issues in which agent utility functions are nonlinear. Existing works have not yet focused on the private information of agents. In addition, they were not scalable in the sense that they have shown a high failure rate for making agreements among five or more agents. In this paper, we focus on a novel multi-round representative based protocol that utilizes the amount of revealed agents' private information. Experimental results demonstrate that our mechanism reduces the failure rate in making agreements and is scalable for the number of agents compared with existing approaches.
Keywords: Multi-issue negotiation, nonlinear function
