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Treffer: Modelling agent attitudes in legal reasoning

Title:
Modelling agent attitudes in legal reasoning
Source:
Software, formal models, and artificial intelligence for legal evidenceComputing and informatics. 20(6):581-624
Publisher Information:
Bratislava: Slovak Academy of Sciences, 2001.
Publication Year:
2001
Physical Description:
print, 84 ref
Original Material:
INIST-CNRS
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
JT International SA Chemin Rieu 14,, Geneva 17, 1211, Switzerland
Dept. of Computer Science, University of Sheffield, Regent Court, 211 Portobello St., Sheffield S1 4DP, United Kingdom
Multilingual Technology, SAP AG Robert-Bosch-Str. 30-34, 69189 Walldorf, Germany
ISSN:
1335-9150
Rights:
Copyright 2002 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.13812912
Database:
PASCAL Archive

Weitere Informationen

Common approaches to using artificial intelligence techniques in legal reasoning have generally been based on the logical reasoning methods developed in AI. In most cases, such systems can be considered to be expert systems applied in the legal domain. Other aspects of AI technology that rely more heavily on human psychology or behavioural patterns have rarely been used. This paper aims to show that some of these techniques have a rightful place in legal reasoning, and in particular that the notion of modelling the attitudes of agents can be of great benefit in developing more realistic systems for re-enactment in investigation and proof.