Approximate reasoning for contextual databases

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Contextual reasoning has been proposed as a tool for solving the problem of generality in AI and for effectively handling huge knowledge bases, while approximate reasoning has been developed to overcome the computational barrier of classical deduction. This paper combines these approaches to provide an intuitive representation of knowledge and an effective deduction. Its semantics and a tableau calculus are presented. The key computational features are discussed.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Tools with Artificial Intelligence
PublisherIEEE
Pages308-315
Publication statusPublished - 1996
Externally publishedYes
EventProceedings of the 1996 IEEE 8th International Conference on Tools with Artificial Intelligence -
Duration: 16 Nov 199619 Nov 1996

Publication series

NameProceedings of the International Conference on Tools with Artificial Intelligence

Conference

ConferenceProceedings of the 1996 IEEE 8th International Conference on Tools with Artificial Intelligence
Period16/11/9619/11/96

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