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

Carneiro, Davide, Novais, Paulo, Andrade, Francisco, Zeleznikow, John and Neves, Jose (2013) Using Case-Based Reasoning and Principled Negotiation to provide decision support for dispute resolution. Knowledge and Information Systems, 36 (3). pp. 789-826. ISSN 0219-1377

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: ResPubID25644, alternative dispute resolution, ADR, expert system, case-based reasoning, CBR, information retrieval, online dispute resolution, ODR, artificial intelligence, AI, BATNA, best alternative to a negotiated agreement, rule-based legal decision-making system, LDS, UMCourt, CBR algorithm, case-based approach
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
FOR Classification > 0803 Computer Software
FOR Classification > 0806 Information Systems
FOR Classification > 1801 Law
Faculty/School/Research Centre/Department > School of Management and Information Systems
Depositing User: VUIR
Date Deposited: 27 Aug 2013 00:42
Last Modified: 18 Nov 2013 00:35
URI: http://vuir.vu.edu.au/id/eprint/10700
DOI: https://doi.org/10.1007/s10115-012-0563-0
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Citations in Scopus: 47 - View on Scopus

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