Reasoning paradigms in legal decision support systems
Data(s) |
1995
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Resumo |
In this paper we discuss the strengths and weaknesses of a range of artificial intelligence approaches used in legal domains. Symbolic reasoning systems which rely on deductive, inductive and analogical reasoning are described and reviewed. The role of statistical reasoning in law is examined, and the use of neural networks analysed. There is discussion of architectures for, and examples of, systems which combine a number of these reasoning strategies. We conclude that to build intelligent legal decision support systems requires a range of reasoning strategies. |
Identificador | |
Publicador |
Springer Netherlands |
Relação |
DOI:10.1007/BF00849064 Zeleznikow, John & Hunter, Dan (1995) Reasoning paradigms in legal decision support systems. Artificial Intelligence Review, 9(6), pp. 361-385. |
Direitos |
Copyright 1995 Springer Netherlands |
Fonte |
Faculty of Law; School of Law |
Tipo |
Journal Article |