Revision rules in the theory of evidence

Ma, J; Liu, W; Dubois, D; Prade, H

Revision rules in the theory of evidence

Ma, J Liu, W Dubois, D Prade, H

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Publication Type:: Conference Proceeding
Citation:: Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, 2010, 1 pp. 295 - 302
Issue Date:: 2010-12-01

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Field	Value	Language
dc.contributor.author	Ma, J	en_US
dc.contributor.author	Liu, W	en_US
dc.contributor.author	Dubois, D	en_US
dc.contributor.author	Prade, H https://orcid.org/0000-0003-4586-8527	en_US
dc.date.issued	2010-12-01	en_US
dc.identifier.citation	Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, 2010, 1 pp. 295 - 302	en_US
dc.identifier.isbn	9780769542638	en_US
dc.identifier.issn	1082-3409	en_US
dc.identifier.uri	http://hdl.handle.net/10453/32902
dc.description.abstract	Combination rules proposed so far in the Dempster-Shafer theory of evidence, especially Dempster rule, rely on a basic assumption, that is, pieces of evidence being combined are considered to be on a par, i.e. play the same role. When a source of evidence is less reliable than another, it is possible to discount it and then a symmetric combination operation is still used. In the case of revision, the idea is to let prior knowledge of an agent be altered by some input information. The change problem is thus intrinsically asymmetric. Assuming the input information is reliable, it should be retained whilst the prior information should be changed minimally to that effect. Although belief revision is already an important subfield of artificial intelligence, so far, it has been little addressed in evidence theory. In this paper, we define the notion of revision for the theory of evidence and propose several different revision rules, called the inner and outer revisions, and a modified adaptive outer revision, which better corresponds to the idea of revision. Properties of these revision rules are also investigated. © 2010 IEEE.	en_US
dc.relation.ispartof	Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI	en_US
dc.relation.isbasedon	10.1109/ICTAI.2010.50	en_US
dc.title	Revision rules in the theory of evidence	en_US
dc.type	Conference Proceeding
utslib.citation.volume	1	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	1	en_US

Abstract:

Combination rules proposed so far in the Dempster-Shafer theory of evidence, especially Dempster rule, rely on a basic assumption, that is, pieces of evidence being combined are considered to be on a par, i.e. play the same role. When a source of evidence is less reliable than another, it is possible to discount it and then a symmetric combination operation is still used. In the case of revision, the idea is to let prior knowledge of an agent be altered by some input information. The change problem is thus intrinsically asymmetric. Assuming the input information is reliable, it should be retained whilst the prior information should be changed minimally to that effect. Although belief revision is already an important subfield of artificial intelligence, so far, it has been little addressed in evidence theory. In this paper, we define the notion of revision for the theory of evidence and propose several different revision rules, called the inner and outer revisions, and a modified adaptive outer revision, which better corresponds to the idea of revision. Properties of these revision rules are also investigated. © 2010 IEEE.

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