Smart city management: artificial intelligence as a tool for identifying regulatory conflicts
EDN: SZOQWU
Abstract
Most of the basic legal acts defining the essence of the smart cities concept are subordinate and fragmented. This gives rise to numerous contradictions concerning key concepts, goals and areas of development, as well as the competencies of government agencies at various levels of governance. The problem of timely detection of contradictions (collisions) is possible through the development of automated systems for monitoring regulatory development projects and identifying conflicts even before their official approval. This article describes the architecture of the proposed human-machine system for automated monitoring of regulatory legal acts and identifying conflicts. The process of identifying conflicts is considered as a two-stage procedure. In the first stage, neurolinguistic programming (NLP) methods are used to transform the ordinary text into a structured form; in the second stage, the formalized norms are fed to an analyzer based on the principles of deontic logic. Through the decision support interface, the lawyer receives a detailed, interpretable dossier on the potential conflict.
About the Authors
A. V. Zubkova
Novosibirsk State University of Economics and Management
Russian Federation
Russian Federation
Anastasia V. Zubkova, Student
Novosibirsk
L. K. Bobrov
Novosibirsk State University of Economics and Management
Russian Federation
Russian Federation
Leonid K. Bobrov, Doctor of Sciences (Engineering), Professor
Department of Applied Informatics
Novosibirsk
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For citations:
Zubkova A.V., Bobrov L.K. Smart city management: artificial intelligence as a tool for identifying regulatory conflicts. Territory Development. 2026;(2 (44)):70-77. (In Russ.) EDN: SZOQWU
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