Computer Science ›› 2025, Vol. 52 ›› Issue (6A): 240700139-5.doi: 10.11896/jsjkx.240700139

• Big Data & Data Science • Previous Articles     Next Articles

Representation and Reasoning System Realization of Inconsistent Knowledge

ZHU Fuxi1, ZHU Lida2   

  1. 1 AI Applied Research Center,Wuhan College,Wuhan 430212,China
    2 College of Informatics,Huazhong Agricultural University,Wuhan 430070,China
  • Online:2025-06-16 Published:2025-06-12
  • About author:ZHU Fuxi,born in 1957,Ph.D,professor,Ph.D supervisor.His main research interests include artificial intelligence and so on.
    ZHU Lida,born in 1984,Ph.D,is a member of CCF(No.C0784M).Her main research interest includes artificial intellige.
  • Supported by:
    Hubei Provincial Department of Education Social Science Research Project(20G102).

Abstract: As a type of non-traditional logic,paraconsistent logic is capable of representing and addressing inconsistent knowledge in a rational manner.However,the realization of representation and reasoning of inconsistent knowledge remains an urgent research topic.This paper utilizes a paraconsistent logic system-annotated logic-as a model for achieving the representation and reasoning of inconsistent knowledge.Specifically,Python is employed as the tool for representing the basis.

Key words: Inconsistent knowledge, Paraconsistent logic, Annotated logic, Python language, Reasoning system

CLC Number: 

  • G645
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