ABSTRACT
This article describes research in a new theory of decision support in negotiation in family law mediation. AssetDivider was based on the principles of Family_Winner. As a Negotiation Decision Support System Family_Winner takes ratings assigned to items by the parties involved and develops a list of allocations to each party; based on trade-offs inherently present in the dispute. Given advice provided from our industry partners Relationships Australia (Queensland) - RAQ, AssetDivider uses an ideal "percentage split" to guide the development of an allocation list for parties. The system has been tested informally by our contacts at RAQ, and we now look forward to extensive testing and evaluation by mediators at RAQ in the near future. We hope to report on a comprehensive evaluation which will report on the effectiveness of this program in practice.
- Bellucci, E. (2004), "Developing Compensation Strategies for the construction of Negotiation Decision Support Systems". PHD thesis, La Trobe University, Bundoora 3086, Victoria, AustraliaGoogle Scholar
- Bellucci, E. and Zeleznikow, J. 1997. Family-Negotiator: an intelligent decision support system for negotiation in Australian Family Law. Proceedings of the Fourth Conference of the International Society for Decision Support Systems, Lausanne, International Society for Decision Support Systems: 359--373.Google Scholar
- Bellucci, E. and Zeleznikow, J., 1998. A comparative study of negotiation decision support systems, In Thirty-First Hawaii International Conference on System Sciences IEEE Computer Society. Los Alamitos, California, pp. 254--262. Google ScholarDigital Library
- Bellucci, E. and Zeleznikow, J. 2001. "Representations for decision making support in negotiation". Journal of Decision Support, 10(3--4), 449--479Google Scholar
- Bellucci, E and Zeleznikow, J., 2006. "Developing Negotiation Decision Support Systems that support mediators: a case study of the Family_Winner system", Journal of Artificial Intelligence and Law, 13(2), 233--271. Google ScholarDigital Library
- Brams, S. J. and Taylor, A. D., 1996. Fair Division, from cake cutting to dispute resolution. Cambridge University Press, Cambridge, UK.Google Scholar
- Bui, T. and Shakun, M. F. 1997. Introduction to the Negotiation Support Systems Minitrack, In Thirtieth Annual Hawaii International Conference on Systems Science - Mini track on Negotiation Support Systems IEEE, Hawaii. Google ScholarDigital Library
- Eidelman, J. A., 1993. Software for Negotiations, Law Practice Management, 19(7): 50--55.Google Scholar
- Fisher, R. and Ury, W., 1991. Getting to Yes: Negotiating Agreement without Giving In., Boston: Haughton Mifflin.Google Scholar
- Hall, M. J. J. and Zeleznikow, J., 2003. A method for evaluating legal knowledge-based systems based upon the Context Criteria Contingency guidelines framework, In Proceedings of the Ninth International Conference on Artificial Intelligence and Law ACM Press, Edinburgh, Scotland, pp. 274--283. Google ScholarDigital Library
- Kolodner, J. L. and Simpson, R. L., 1989. The Mediator: Analysis of an Early Case-Based Problem Solver, Cognitive Science, 13:507--549.Google ScholarCross Ref
- Matwin, S., Szpakowicz, S., Koperczak, Z., Kersten, G. E. and Michalowski, G. 1989. NEGOPLAN: An Expert System Shell for Negotiation Support, IEEE Expert 4:50--62 Google ScholarDigital Library
- Mnookin, R., Peppet, S. R. and Tulumello, A. S., 2000. Beyond Winning: Negotiating to Create Value in Deals and Disputes, The Belnap Press of Harvard University Press.Google Scholar
- Peterson, M. and Waterman, D. 1985. Evaluating Civil Claims: An Expert Systems Approach to Evaluating Product Liability Cases. In Computer Power and Legal Reasoning (Ed, Walter, C.) West Publishing Company, pp. 627--659.Google Scholar
- Stranieri, A., Zeleznikow, J., Gawler, M. and Lewis, B., 1999. "A hybrid---neural approach to the automation of legal reasoning in the discretionary domain of family law in Australia. Artificial Intelligence and Law 7(2--3), 153--183.Google Scholar
- Sycara, K. 1993. Machine Learning for Intelligent Support of Conflict Resolution, Decision Support Systems, 10:121--136. Google ScholarDigital Library
- Thiessen, E. M. and McMahon, J. P., 2000. Beyond Win-Win in Cyberspace. Ohio State Journal on Dispute Resolution, 15: 643.Google Scholar
- Yuan, Y., Rose, B. J., Archer, N. and Suarga, H., 1998. A Web-Based Negotiation Support System, EM - Electronic Markets, 8.Google Scholar
- Zeleznikow, J., Meersman, R., Hunter, D. and van Helvoort, E. 1995. Computer tools for aiding legal negotiation. ACIS95 --- Sixth Australasian Conference on Information Systems, Curtin University of Technology, Perth, Western Australia: 231--251.Google Scholar
Index Terms
- AssetDivider: a new mediation tool in Australian family law
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