Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/18999
Título: | Using case-based reasoning to support alternative dispute resolution |
Autor(es): | Carneiro, Davide Rua Novais, Paulo Andrade, Francisco Carneiro Pacheco Zeleznikow, John Neves, José |
Palavras-chave: | Case-based reasoning Multi-agent system Online dispute resolution |
Data: | 2010 |
Editora: | Springer |
Revista: | Advances in Intelligent and Soft Computing |
Resumo(s): | Recent trends in communication technologies led to a shift in the already traditional Alternative Dispute Resolution paradigm, giving birth to the Online Dispute Resolution one. In this new paradigm, technologies are used as a way to deliver better, faster and cheaper alternatives to litigation in court. However, the role that technology plays can be even further enhanced through the use of artefacts from the Artificial Intelligence field. In this paper we present UMCourt, an Online Dispute Resolution tool that borrows concepts from the fields of Law and Artificial Intelligence. The system keeps the parties informed about the possible consequences of their litigation if their problems are to be settled in court. Moreover, it makes use of a Case-based Reasoning algorithm that searches for solutions for the litigation considering past known similar cases, as a way to enhance the negotiation process. When parties have access to all this information and are aware of the consequences of their choices, they can take better decisions that encompass all the important aspects of a litigation process. |
Tipo: | Artigo em ata de conferência |
Descrição: | Springer - Series Advances in Intelligent and Soft Computing, vol. 79 |
URI: | https://hdl.handle.net/1822/18999 |
ISBN: | 978-3-642-14882-8 |
DOI: | 10.1007/978-3-642-14883-5_16 |
ISSN: | 1867-5662 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | DI/CCTC - Livros e Capítulos de livros ED/DCJPs - Livros e Capítulos de Livros |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2010 - Springer DCAI CNAZN.pdf | 702,25 kB | Adobe PDF | Ver/Abrir |