Providing Relevant Knowledge in Disputes: UMCourt Project

Parties involved in disputes often lack the information they need to take rational decisions. As a consequence, they frequently enter into agreements that are not as advantageous as they could be. Having the right information in the right time would guide parties into taking more weighted and realistic decisions. Specifically, parties should consider their best, worst and most likely outcomes in litigation as well as all the possibilities in between. In this paper the importance of this information is highlighted and domain-dependent methods for compiling it are presented. Moreover, this work describes three case studies in which these methods are being applied with the objective of informing the parties, empowering their role in the dispute resolution process and helping them achieve more satisfactory outcomes.

[1]  Farhi Marir,et al.  Case-based reasoning: A review , 1994, The Knowledge Engineering Review.

[2]  John Zeleznikow,et al.  Integrating artificial intelligence, argumentation and game theory to develop an online dispute resolution environment , 2004, 16th IEEE International Conference on Tools with Artificial Intelligence.

[3]  Barbara Messing,et al.  An Introduction to MultiAgent Systems , 2002, Künstliche Intell..

[4]  R. Fisher,et al.  Getting to Yes: Negotiating Agreement Without Giving in , 1981 .

[5]  Frank E. A. Sander,et al.  Dispute Resolution: Negotiation, Mediation, and Other Processes , 1999 .

[6]  J. Zeleznikow,et al.  Fundamentals of Providing Negotiation Support Online : the Need for Developing BATNAs , 2005 .

[7]  H. Raiffa The Art & Science of Negotiation , 1983 .

[8]  Agostino Poggi,et al.  Developing Multi-agent Systems with JADE , 2007, ATAL.

[9]  H. Brown,et al.  Adr: Principles and Practice , 1993 .

[10]  Michael Wooldridge,et al.  An Introduction to MultiAgent Systems John Wiley & Sons , 2002 .

[11]  Ronald E. Leenes,et al.  I Want the Opposite of What You Want: Summary of a Study on the Reduction of Fixed-Pie Perceptions in Online Negotiations , 2008, ODR.

[12]  John Zeleznikow,et al.  Fundamentals of Providing Negotiation Advice Online : the Need for Developing BATNAs , 2005 .

[13]  Agnar Aamodt,et al.  Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches , 1994, AI Commun..

[14]  Davide Carneiro,et al.  An Agent-based Approach to Consumer's Law Dispute Resolution , 2010, ICEIS.

[15]  Darryl S. Lew Arbitration: Essential Concepts by Steven C. Bennett , 2003 .

[16]  Frederick Hayes-Roth,et al.  Rule-based systems , 1985, CACM.

[17]  Michael Wooldridge,et al.  Introduction to multiagent systems , 2001 .

[18]  Steven J. Brams,et al.  Fair division - from cake-cutting to dispute resolution , 1998 .

[19]  José Neves,et al.  Using BATNAs and WATNAs in Online Dispute Resolution , 2009, JSAI-isAI Workshops.

[20]  Paulo Novais,et al.  Sistema de resolução online de conflito para partilhas de bens : divórcios e heranças , 2010 .

[21]  José Neves,et al.  The Legal Precedent in Online Dispute Resolution , 2009, JURIX.

[22]  Fabio Bellifemine,et al.  Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology) , 2007 .

[23]  E. Katsh,et al.  Online Dispute Resolution: Resolving Conflicts in Cyberspace , 2001 .