This paper introduces a computational method for extracting legal causes from jurisprudence using a set-theoretic formalization of the al-Sabr wa al-Taqsim technique. The proposed algorithm generates minimal operational rules from juristic verdict truth tables, identifying essential attributes and eliminating redundancies. This framework aims to produce admissible candidate causes for further juristic analysis, provided a finite concept vocabulary and a complete ruling table are available. AI
IMPACT This research could enable more systematic and computational approaches to legal reasoning in specialized domains.
RANK_REASON Academic paper detailing a novel computational method for legal cause extraction. [lever_c_demoted from research: ic=1 ai=1.0]
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