•  115
    In order to represent legal knowledge adequately, it is vital to create a formal device that can freely construct an individual concept directly from a predicate expression. For this purpose, a Compound Predicate Formula (CPF) is formulated for use in legal expert systems. In this paper, we willattempt to explain the nature of CPFs by rigorous logical foundation, i.e., establishing their syntax and semantics precisely through the use of appropriate examples. We note the advantages of our system …Read more
  •  52
    A fuzzy theoretical approach to case-based representation and inference in CISG
    with Mingqiang Xu and Kaoru Hirota
    Artificial Intelligence and Law 7 (2-3): 259-272. 1999.
    In a legal expert system based on CBR (Case-Based Reasoning), legal statute rules are interpreted on the basis of precedents. This interpretation, because of its vagueness and uncertainty of the interpretation cannot be handled with the means used for crisp cases. In our legal expert system, on the basis of the facts of precedents, the statute rule is interpreted as a form of case rule, the application of which involves the concepts of membership and vagueness. The case rule is stored in a data …Read more
  •  36
    A symposium on artificial intelligence and research in japan
    with Katsuma Nitta
    Artificial Intelligence and Law 5 (1-2): 75-76. 1997.
  •  12
    This volume contains a selection of papers presented at the special workshop "Truth and Objectivity in Law and Morals," held at the 26th World Congress of the IVR. The papers deal with diverse but correlated issues such as the search for truth in and through legal argumentation; the intelligible character of rules inside theories of interpretation which guarantee the coherence and the integrity of law; the role of hermeneutic analysis in the construction of the objectivity of law; the procedural…Read more