Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/23865

TitleAn evolutionary approach to generate solutions for conflict scenarios
Author(s)Carneiro, Davide Rua
Analide, César
Novais, Paulo
Neves, José
KeywordsOnline dispute resolution
Genetic algorithms
Distributive negotiation
Issue date2012
PublisherSpringer-Verlag Berlin
JournalLecture Notes in Computer Science
Abstract(s)Conflict resolution is nowadays an important topic. Online Dispute Resolution in particular is nowadays a major research topic, focusing on the development of technology-based tools to assist parties involved in conflict resolution processes. In this paper we present such a tool aimed at the generation of solutions. It is based on Genetic Algorithms that evolve a population of solutions through successive iterations, generating more specialized ones. The result is a tree of solutions that the conflict resolution platform can use to guide the conflict resolution process. This approach is especially suited for parties which have no ability or are unwilling to generate realistic proposals for the resolution of the conflict.
TypeConference paper
URIhttp://hdl.handle.net/1822/23865
ISBN9783642289415
DOI10.1007/978-3-642-28942-2_40
ISSN0302-9743
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CCTC - Artigos em revistas internacionais

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