Currently,intelligent judicial systems follow the logical path of formal reasoning,relying on the qual-ity management of judicial big data,the codification of legal rules,and the logical expression of legal knowledge.This approach aims to promote judicial efficiency and achieve justice,addressing the mismatch between the technical logic and judicial logic in intelligent judicial systems.However,the judicial experien-tial model in China's intelligent judicial systems,characterized by case typology and elements,promotes judicial efficiency but fails to meet practical needs.Its inherent logic reduces judicial formal reasoning to a comparison of factual elements,and the absence of value judgments hinders the attainment of individual case fairness and adversely affects judicial subjectivity.In the future,the improvement of the inherent legal logic in intelligent judicial systems should gradually explore the construction of a universal legal knowledge graph.It should also employ a theoretical tool based on litigation requirements and adopt a legal knowl-edge-based modeling approach to enhance the logical and legal validity of intelligent judicial systems through judicial reasoning.
维普
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