Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/26558

TitleUsing genetic algorithms to create solutions for conflict resolution
Author(s)Carneiro, Davide Rua
Novais, Paulo
Neves, José
KeywordsGenetic algorithms
Negotiation
Online dispute resolution
Intelligent environments
Issue date2013
PublisherElsevier
JournalNeurocomputing
Abstract(s)The process of devising solutions for conflict resolution generally configures a challenging task. There exist different approaches to address the problem, namely the use of case-based models or even relying on the parties themselves to perform the task. From a computational point of view, these problems generally represent a NP-complete problem. In order to surpass this shortcoming, in this paper it is presented a biologically inspired method to deal with the problem in which genetic algorithms are used to create possible solutions for a given dispute. The approach presented is able to generate a broad number of diverse solutions that cover virtually the whole search space for a given problem. This approach provides better results than a case-based approach since: (1) it is independent of the legal domain and (2) it does not depend on the number and quality of cases present in a database. The results of this work are being applied in a negotiation tool that is part of the UMCourt conflict resolution platform.
TypeArticle
URIhttp://hdl.handle.net/1822/26558
DOI10.1016/j.neucom.2012.03.024
ISSN0925-2312
Publisher versionhttp://dx.doi.org/10.1016/j.neucom.2012.03.024
Peer-Reviewedyes
AccessOpen access
Appears in Collections:DI/CCTC - Artigos (papers)

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