The British Nationality Act as a logic program
Communications of the ACM
On the logical foundations of compound predicate formulae for legal knowledge representation
Artificial Intelligence and Law
Formalising arguments about the burden of persuasion
Proceedings of the 11th international conference on Artificial intelligence and law
The Carneades model of argument and burden of proof
Artificial Intelligence
Translating the Japanese Presupposed Ultimate Fact Theory into Logic Programming
Proceedings of the 2009 conference on Legal Knowledge and Information Systems: JURIX 2009: The Twenty-Second Annual Conference
Logical Tools for Modelling Legal Argument: A Study of Defeasible Reasoning in Law
Logical Tools for Modelling Legal Argument: A Study of Defeasible Reasoning in Law
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In this paper, we propose a legal reasoning system called PROLEG (PROlog based LEGal reasoning support system) based on the Japanese “theory of presupposed ultimate facts” (called “Yoken-jijitsu-ron” in Japanese, the JUF theory, in short). The theory is used for decision making by judges under incomplete information. Previously, we proposed a translation of the theory into logic programming. However, it turns out that the knowledge representation in logic programming is difficult for lawyers to understand. So, in this paper, we change knowledge representation of rules in the JUF theory in PROLEG so that we reflect lawyers' reasoning using the idea of “openness” proposed by a judge who is a main investigator of the JUF theory.