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Belief erasure using partial imaging

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/148101

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Title: Belief erasure using partial imaging
Related: Australasian Joint Conference on Artificial Intelligence (23rd : 2010) (7 - 10 December 2010 : Adelaide)
Related: Li, Jiuyong. AI 2010 : advances in artificial intelligence : 23rd Australasian Joint Conference, Adelaide, Australia, December 7-10, 2010 : proceedings, p.52-61
DOI: 10.1007/978-3-642-17432-2_6
Related: Lecture notes in computer science Vol. 6464
Publisher: Berlin : Springer-Verlag
Date: 2010
FoR/RFCD Code(s): 080100 Artificial Intelligence and Image Processing
Author/Creator: Ramachandran, Raghav
Author/Creator: Nayak, Abhaya C
Author/Creator: Orgun, Mehmet A
Description: In this work we develop and examine a generalized account of David Lewis’s imaging in the same way as how Jeffrey’s Probability Kinematics generalizes Bayesian conditionalization. We show that this naturally leads to a rational account of probabilistic belief removal – a rather long standing problem in the area. It turns out that our generalization of imaging indeed is an account of probabilistic belief erasure as opposed to probabilistic belief contraction. In the process we also examine two other accounts of probabilistic belief removal which are rather novel and difficult to classify under the standard belief change taxonomy.
Description: 10 page(s)
Subject Keyword: 080100 Artificial Intelligence and Image Processing
Resource Type: conference paper
Organisation: Macquarie University. Dept. of Computing

Identifier: http://hdl.handle.net/1959.14/148101
Identifier: ISBN:9783642174315
Identifier: ISSN:0302-9743
Identifier: mq-rm-2010001514
Language: eng
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