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Asset negotiation and trade-off support within a multi-agent environment

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HuCom '08: Proceedings of the 1st International Working Conference on Human Factors and Computational Models in Negotiation

Pages 4 - 10

https://doi.org/10.1145/1609170.1609171

Published: 08 December 2008 Publication History

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Abstract

Argumentation theory is often used in multi agentsystems to facilitate autonomous agent reasoning and multi-agent interaction. The technology can also be used to develop online negotiation and mediation services by providing argument structures that assist parties involved in a dispute to resolve outstanding issues or avoid future disputes. While Alternative Dispute Resolution (ADR) represents a move from a fixed and formal process to a more flexible one, Online Dispute Resolution (ODR) moves ADR from a physical to a virtual place. The research aims to capitalise on the recent trend towards ODR by creating a JADE based multi-agent ODR environment. The utility functions and argument structures of two existing ODR applications are being re-deployed as Web based intelligent agents capable of intuitively coordinating during a negotiation. One agent uses expert knowledge of the Australian Family Law domain to recommend a percentage property split, while another uses heuristics and game theory and combines this split with a significance rating of items provided by each party, to allocate issues and advise upon possible trade-offs. The ultimate aim is to provide disputants with an integrated ODR environment offering a range of services to assist them in achieving fairer outcomes.

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Cited By

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Zeleznikow JAbrahams B(2009)Incorporating issues of fairness into development of a multi-agent negotiation support systemProceedings of the 12th International Conference on Artificial Intelligence and Law10.1145/1568234.1568254(177-184)Online publication date: 8-Jun-2009
https://dl.acm.org/doi/10.1145/1568234.1568254

Index Terms

Asset negotiation and trade-off support within a multi-agent environment
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Multi-agent systems
2. Information systems
  1. Information systems applications
    1. Decision support systems
      1. Expert systems

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Published In

HuCom '08: Proceedings of the 1st International Working Conference on Human Factors and Computational Models in Negotiation

December 2008

68 pages

ISBN:9789081381116

DOI:10.1145/1609170

Editors:
Koen V. Hindriks
Delft University of Technology, Delft, The Netherlands
,
Willem-Paul Brinkman
Delft University of Technology, Delft, The Netherlands

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 December 2008

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HuCom '08

HuCom '08: First International Working Conference on Human Factors and Computational Models in Negotiation

December 8 - 9, 2008

Delft, The Netherlands

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Zeleznikow JAbrahams B(2009)Incorporating issues of fairness into development of a multi-agent negotiation support systemProceedings of the 12th International Conference on Artificial Intelligence and Law10.1145/1568234.1568254(177-184)Online publication date: 8-Jun-2009
https://dl.acm.org/doi/10.1145/1568234.1568254

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Incorporating issues of fairness into development of a multi-agent negotiation support system