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

被引:0
作者
Davide Carneiro
Paulo Novais
Francisco Andrade
John Zeleznikow
José Neves
机构
[1] University of Minho,CCTC/Department of Informatics
[2] University of Minho,Law School
[3] Victoria University,School of Management and Information Systems
来源
Knowledge and Information Systems | 2013年 / 36卷
关键词
Online dispute resolution; Expert system; Case-Based Reasoning; Information retrieval;
D O I
暂无
中图分类号
学科分类号
摘要
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.
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收藏
页码:789 / 826
页数:37
相关论文
共 31 条
[1]  
Aamodt A(1994)Case-based reasoning: foundational issues, methodological variations, and system approaches AI Commun 7 39-59
[2]  
Plaza E(2001)Eyewitness identification in actual criminal cases: an archival analysis Law Hum Behav 25 475-491
[3]  
Behrman BW(2001)Representations of decision-making support in negotiation J Decis Syst 10 449-479
[4]  
Davey SL(2006)Developing negotiation decision support systems that support mediators: a case study of the family winner system J Artif Intell Law 13 233-271
[5]  
Bellucci E(2004)What judges maximize: towards an economic psychology of the judicial utility function Liverp Law Rev 25 177-194
[6]  
Zeleznikow J(2001)Automated negotiation: prospects, methods and challenges Group Decis Negot 10 199-215
[7]  
Bellucci E(1976)Legal precedent: a theoretical and empirical analysis J Law Econ 19 249-307
[8]  
Zeleznikow J(2010)Evaluation of contextual information retrieval effectiveness: overview of issues and research Knowl Inf Syst 24 1-34
[9]  
Foxall G(1993)What do judges and justices maximize Supreme Court Econ Rev 3 1-41
[10]  
Jennings N(1991)Case-based reasoning: a research paradigm AI Mag 12 42-55