Law, learning and representation

In machine learning terms, reasoning in legal cases can be compared to a lazy learning approach in which courts defer deciding how to generalize beyond the prior cases until the facts of a new case are observed. The HYPO family of systems implements a “lazy” approach since they defer making argument...

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Veröffentlicht in:	Artificial intelligence 2003-11, Vol.150 (1), p.17-58
Hauptverfasser:	Ashley, Kevin D., Rissland, Edwina L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Argument Artificial intelligence Case-based reasoning Computer applications Expert systems Law Lazy learning Legal information retrieval Legal knowledge representation Legal reasoning Reflective adjustment Version spaces
Online-Zugang:	Volltext
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