1. Mingqiang Xu, Kaoru Hirota & Hajime Yoshino (1999). A Fuzzy Theoretical Approach to Case-Based Representation and Inference in CISG. Artificial Intelligence and Law 7 (2-3):259-272.
    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 (...)
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  2. Katsuma Nitta & Hajime Yoshino (1997). A Symposium on Artificial Intelligence and Research in Japan. Artificial Intelligence and Law 5 (1-2):75-76.
  3. Hajime Yoshino (1997). On the Logical Foundations of Compound Predicate Formulae for Legal Knowledge Representation. Artificial Intelligence and Law 5 (1-2):77-96.
    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 over other such (...)
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