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Searching for fair joint gains in agent-based negotiation

Published: 10 May 2009 Publication History

Abstract

In multi-issue negotiations, autonomous agents can act cooperatively to benefit from mutually preferred agreements. However, empirical evidence suggests that they often fail to search for joint gains and end up with inefficient results. To address this problem, this paper proposes a novel mediated negotiation procedure to support the negotiation agents in reaching an efficient and fair agreement in bilateral multi-issue negotiation. At each stage of negotiation, the mediator searches for the compromise direction based on a new EDD (Equal Directional Derivative) approach and computes the new tentative agreement. The numerical analysis presented in this paper demonstrates that the proposed approach not only guarantees Pareto efficiency, but also produces fairer improvements for two negotiating agents compared with other existing methods.

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Cited By

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  • (2014)Efficiency and fairness in team search with self-interested agentsProceedings of the 2014 international conference on Autonomous agents and multi-agent systems10.5555/2615731.2615792(365-372)Online publication date: 5-May-2014
  • (2011)A multi-choice offer strategy for bilateral multi-issue negotiations using modified DWM learningProceedings of the 13th International Conference on Electronic Commerce10.1145/2378104.2378111(1-9)Online publication date: 3-Aug-2011
  • (2011)Consensus policy based multi-agent negotiationProceedings of the 14th international conference on Agents in Principle, Agents in Practice10.1007/978-3-642-25044-6_14(159-173)Online publication date: 16-Nov-2011
  • Show More Cited By

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Information

Published In

cover image Guide Proceedings
AAMAS '09: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
May 2009
730 pages
ISBN:9780981738178

Sponsors

  • Drexel University
  • Wiley-Blackwell
  • 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
  • The Foundation for Intelligent Physical Agents

Publisher

International Foundation for Autonomous Agents and Multiagent Systems

Richland, SC

Publication History

Published: 10 May 2009

Author Tags

  1. automated negotiation
  2. fairness
  3. joint gains
  4. mediator
  5. pareto-improvement

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  • Research-article

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Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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Cited By

View all
  • (2014)Efficiency and fairness in team search with self-interested agentsProceedings of the 2014 international conference on Autonomous agents and multi-agent systems10.5555/2615731.2615792(365-372)Online publication date: 5-May-2014
  • (2011)A multi-choice offer strategy for bilateral multi-issue negotiations using modified DWM learningProceedings of the 13th International Conference on Electronic Commerce10.1145/2378104.2378111(1-9)Online publication date: 3-Aug-2011
  • (2011)Consensus policy based multi-agent negotiationProceedings of the 14th international conference on Agents in Principle, Agents in Practice10.1007/978-3-642-25044-6_14(159-173)Online publication date: 16-Nov-2011
  • (2010)On efficient mediation approach to multi-issue negotiation with optimal and fair outcomesProceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 110.5555/1838206.1838527(1655-1656)Online publication date: 10-May-2010
  • (2009)NegoExplorerProceedings of the 12th International Conference on Principles of Practice in Multi-Agent Systems10.1007/978-3-642-11161-7_18(261-275)Online publication date: 15-Dec-2009

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