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

  • Authors:
  • Brooke Abrahams;John Zeleznikow

  • Affiliations:
  • Victoria University, Melbourne, Australia;Victoria University, Melbourne, Australia

  • Venue:
  • HuCom '08 Proceedings of the 1st International Working Conference on Human Factors and Computational Models in Negotiation
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

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.