Possibilistic Reasoning in Multi-Context Systems: Preliminary Report

Jin, Y; Wang, K; Wen, L

doi:10.1007/978-3-642-32695-0_18

Author(s)

Jin, Y

Wang, K

Wen, L

Griffith University Author(s)

Wen, Larry

Wang, Kewen

Jin, Yifan

Year published

2012

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Abstract

This paper makes the first attempt to establish a framework for possibilistic reasoning in (nonmonotonic) multi-context systems, called possibilistic MCS. We first introduce the syntax for possibilistic MCS and then define its equilibrium semantics based on Brewka and Eiter's nonmonotonic multi-context systems. Then we investigate several properties and develop a fixoint theory for possibilistic MCS.This paper makes the first attempt to establish a framework for possibilistic reasoning in (nonmonotonic) multi-context systems, called possibilistic MCS. We first introduce the syntax for possibilistic MCS and then define its equilibrium semantics based on Brewka and Eiter's nonmonotonic multi-context systems. Then we investigate several properties and develop a fixoint theory for possibilistic MCS.
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Conference Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

7458 LNAI

DOI

https://doi.org/10.1007/978-3-642-32695-0_18

Subject

Artificial Intelligence and Image Processing not elsewhere classified

Publication URI

http://hdl.handle.net/10072/48508

Collection

Conference outputs