Deriving explanations from partial temporal information

Ma, J, Knight, B and Petridis, M (2008) Deriving explanations from partial temporal information In: 3rd International Workshop on Explanation-aware Computing ExaCt 2008, at ECAI-2008, 21 July, 2008, Patras, Greece.

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Abstract

The representation and manipulation of natural human understanding of temporal phenomena is a fundamental field of study in Computer Science, which aims both to emulate human thinking, and to use the methods of human intelligence to underpin engineering solutions. In particular, in the domain of Artificial Intelligence, temporal knowledge may be uncertain and incomplete due to the unavailability of complete and absolute temporal information. This paper introduces an inferential framework for deriving logical explanations from partial temporal information. Based on a graphical representation which allows expression of both absolute and relative temporal knowledge in incomplete forms, the system can deliver a verdict to the question if a given set of statements is temporally consistent or not, and provide understandable logical explanation of analysis by simplified contradiction and rule based reasoning.

Item Type: Contribution to conference proceedings in the public domain ( Full Paper)
Subjects: G000 Computing and Mathematical Sciences > G400 Computing
Faculties: Faculty of Science and Engineering > School of Computing, Engineering and Mathematics > Computational Intelligence
Depositing User: editor cmis
Date Deposited: 17 Jan 2012 13:47
Last Modified: 20 Jun 2012 09:49
URI: http://eprints.brighton.ac.uk/id/eprint/9698

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