Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/26558
Título: | Using genetic algorithms to create solutions for conflict resolution |
Autor(es): | Carneiro, Davide Rua Novais, Paulo Neves, José |
Palavras-chave: | Genetic algorithms Negotiation Online dispute resolution Intelligent environments |
Data: | 2013 |
Editora: | Elsevier 1 |
Revista: | Neurocomputing |
Resumo(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. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/26558 |
DOI: | 10.1016/j.neucom.2012.03.024 |
ISSN: | 0925-2312 |
Versão da editora: | http://dx.doi.org/10.1016/j.neucom.2012.03.024 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | DI/CCTC - Artigos (papers) |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2013 - Elsevier - Neurocomputing.pdf | 1,3 MB | Adobe PDF | Ver/Abrir |