Using Case-Based Reasoning and Principled Negotiation to provide decision support for dispute resolution

The growing use of Information Technology in the commercial arena leads to an urgent need to find alternatives to traditional dispute resolution. New tools from fields such as artificial intelligence (AI) should be considered in the process of developing novel online dispute resolution (ODR) platforms, in order to make the ligation process simpler, faster and conform with the new virtual environments. In this work, we describe UMCourt, a project built around two sub-fields of AI research: Multi-agent Systems and Case-Based Reasoning, aimed at fostering the development of tools for ODR. This is then used to accomplish several objectives, from suggesting solutions to new disputes based on the observation of past similar disputes, to the improvement of the negotiation and mediation processes that may follow. The main objective of this work is to develop autonomous tools that can increase the effectiveness of the dispute resolution processes, namely by increasing the amount of meaningful information that is available for the parties.

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

[2]  Enrique Cáceres,et al.  EXPERTIUS: A Mexican Judicial Decision-Support System in the Field of Family Law , 2008, JURIX.

[3]  Bart Verheij,et al.  About the logical relations between cases and rules , 2008, JURIX.

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

[5]  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.

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

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

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

[9]  Nicholas R. Jennings,et al.  The Gaia Methodology for Agent-Oriented Analysis and Design , 2000, Autonomous Agents and Multi-Agent Systems.

[10]  Nicholas R. Jennings,et al.  Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.

[11]  Mohammad Al Hasan,et al.  SimClus: an effective algorithm for clustering with a lower bound on similarity , 2010, Knowledge and Information Systems.

[12]  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.

[13]  R. Posner,et al.  Legal Precedent: A Theoretical and Empirical Analysis , 1976, The Journal of Law and Economics.

[14]  U. S. Embassy Beijing China,et al.  Dispute Resolution: Negotiation, Mediation, and Other Processes , 2012 .

[15]  N. R. Jennings,et al.  To appear in: Int Journal of Group Decision and Negotiation GDN2000 Keynote Paper Automated Negotiation: Prospects, Methods and Challenges , 2022 .

[16]  Richard A. Posner,et al.  What Do Judges and Justices Maximize? (The Same Thing Everybody Else Does) , 1993, Supreme Court Economic Review.

[17]  A. Marty Getting to YES. Negotiating Agreement Without Giving In , 1983 .

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

[19]  John Zeleznikow,et al.  Bargaining in the shadow of the law - using utility functions to support legal negotiation , 2007, ICAIL.

[20]  Daniel P. Loucks,et al.  Icans: an interactive computer-assisted multiparty negotiation support system , 1993 .

[21]  Daniel T. Larose,et al.  Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .

[22]  John Zeleznikow,et al.  Developing Negotiation Decision Support Systems that Support Mediators: A Case Study of the Family_Winner System , 2005, Artificial Intelligence and Law.

[23]  John Zeleznikow,et al.  Family_Winner: Integrating Game Theory and Heuristics to Provide Negotiation Support , 2003 .

[24]  R. Walton,et al.  A Behavioral Theory of Labor Negotiations. , 1966 .

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

[26]  J. Fleming,et al.  An introduction to comparative law , 1977 .

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

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

[29]  Jinyan Li,et al.  Exploring the wild birds’ migration data for the disease spread study of H5N1: a clustering and association approach , 2011, Knowledge and Information Systems.

[30]  Jeff M. Bickerton,et al.  Getting to Yes: Negotiating Agreement without Giving in , 2002 .

[31]  Mohand Boughanem,et al.  Evaluation of contextual information retrieval effectiveness: overview of issues and research , 2010, Knowledge and Information Systems.

[32]  James Popple,et al.  A Pragmatic Legal Expert System , 1996 .

[33]  Gordon R. Foxall,et al.  What judges maximize:toward an economic psychology of the judicial utility function , 2004 .

[34]  Philip S. Yu,et al.  Top 10 algorithms in data mining , 2007, Knowledge and Information Systems.

[35]  D. Thakore Conflict and Conflict Management , 2013 .

[36]  John Zeleznikow,et al.  Building negotiation decision support systems by integrating game theory and heuristics , 2004 .

[37]  Mark Peterson,et al.  Rule-Based Models of Legal Expertise , 1980, AAAI.

[38]  S. L. Davey,et al.  Eyewitness Identification in Actual Criminal Cases: An Archival Analysis , 2001, Law and human behavior.

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

[40]  Vipin Kumar,et al.  Introduction to Data Mining , 2022, Data Mining and Machine Learning Applications.

[41]  Jacques L. Koko,et al.  The Art and Science of Negotiation , 2009 .

[42]  Andrew Stranieri,et al.  The split-up system: integrating neural networks and rule-based reasoning in the legal domain , 1995, ICAIL '95.

[43]  Davide Carneiro,et al.  Artificial intelligence applications in ODR: online dispute resolution: the UMCourt project , 2010 .

[44]  John Zeleznikow,et al.  Representations of Decision-making Support in Negotiation , 2001, J. Decis. Syst..

[45]  José Neves,et al.  Enhancing the Role of Multi-agent Systems in the Development of Intelligent Environments , 2010, PAAMS.

[46]  Stephen Slade,et al.  Case-Based Reasoning: A Research Paradigm , 1991, AI Mag..

[47]  Joseph Goodman,et al.  The Pros and Cons of Online Dispute Resolution: An Assessment of Cyber-Mediation Websites , 2003 .

[48]  J. S. Himes Conflict and Conflict Management , 1980 .

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

[50]  L. Urwick,et al.  Dynamic Administration: The Collected Papers of Mary Parker Follett , 1942 .

[51]  Ernest M. Thiessen,et al.  Beyond Win-Win in Cyberspace , 2000 .

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