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  • 1
    Electronic Resource
    Electronic Resource
    Project report: Split-Up — A Legal Expert System which determines property division upon divorce (1995)
    Springer
    Artificial intelligence and law 3 (1995), S. 267-275 
    Details
    ISSN: 1572-8382
    Keywords: Legal Expert Systems ; sequenced transition networks ; neural networks ; ID3 algorithm ; Toulmin Argument Structures ; case-based reasoning ; production rule expert system ; divorce ; property division ; explanation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Law
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00871852
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Introduction: from legal theories to neural networks and fuzzy reasoning (1999)
    Springer
    Artificial intelligence and law 7 (1999), S. 115-128 
    Details
    ISSN: 1572-8382
    Keywords: analogy ; fuzzy logic ; learning ; legal formalism ; neural networks ; vagueness
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Law
    Notes: Abstract Computational approaches to the law have frequently been characterized as being formalistic implementations of the syllogistic model of legal cognition: using insufficient or contradictory data, making analogies, learning through examples and experiences, applying vague and imprecise standards. We argue that, on the contrary, studies on neural networks and fuzzy reasoning show how AI & law research can go beyond syllogism, and, in doing that, can provide substantial contributions to the law.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1008371600675
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  • 3
    Electronic Resource
    Electronic Resource
    Out of their minds: legal theory in neural networks (1999)
    Springer
    Artificial intelligence and law 7 (1999), S. 129-151 
    Details
    ISSN: 1572-8382
    Keywords: connectionism ; legal philosophy ; legal theory ; neural networks
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Law
    Notes: Abstract This paper examines the use of connectionism (neural networks) in modelling legal reasoning. I discuss how the implementations of neural networks have failed to account for legal theoretical perspectives on adjudication. I criticise the use of neural networks in law, not because connectionism is inherently unsuitable in law, but rather because it has been done so poorly to date. The paper reviews a number of legal theories which provide a grounding for the use of neural networks in law. It then examines some implementations undertaken in law and criticises their legal theoretical naïvete. It then presents a lessons from the implementations which researchers must bear in mind if they wish to build neural networks which are justified by legal theories.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1008301122056
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    Paper (German National Licenses)
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