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Approximately fair and secure protocols for multiple interdependent issues negotiation
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International Conference on Autonomous Agents archive
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 table of contents
Budapest, Hungary
SESSION: Interactions table of contents
Pages 1287-1288  
Year of Publication: 2009
ISBN:978-0-9817381-7-8
Authors
Katsuhide Fujita  Nagoya Institute of Technology, Nagoya, Japan
Takayuki Ito  Center for Collective Intelligence, Cambridge
Mark Klein  Center for Collective Intelligence, Cambridge
Sponsors
: The Foundation for Intelligent Physical Agents
Microsoft Research : Microsoft Research
: Whitestein Technologies
: European Office of Aerospace Research and Development, Air Force Office of Scientific Research, United States Air Force Research Laboratory
: Drexel University
: Wiley -- Blackwell Ltd
Publisher
Bibliometrics
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ABSTRACT

Multi-issue negotiation has been studied widely. Our work focuses on the important special case of negotiation with multiple interdependent issues, in which agent utility functions are nonlinear. In this paper, we propose a Distributed Mediator Protocol (DMP) for securely finding Pareto optimal agreements. We also propose a measure for selecting final agreements from the set of Pareto-optimal contracts, based on "approximated fairness" and the "rate of Nash bargaining solution". We demonstrate that the DMP finds the Nash bargaining solution better than previous work in this area.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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T. Ito, H. Hattori, and M. Klein. Multi-issue negotiation protocol for agents: Exploring nonlinear utility spaces. In Proc. of IJCAI-2007, pages 1347--1352, 2007.
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Collaborative Colleagues:
Katsuhide Fujita: colleagues
Takayuki Ito: colleagues
Mark Klein: colleagues