Belief erasure using partial imaging

Raghav Ramachandran*, Abhaya C. Nayak, Mehmet A. Orgun

*Corresponding author for this work

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

3 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationAI 2010: Advances in Artificial Intelligence - 23rd Australasian Joint Conference, Proceedings
EditorsJiuyong Li
Place of PublicationBerlin
PublisherSpringer, Springer Nature
Number of pages10
Volume6464 LNAI
ISBN (Print)3642174310, 9783642174315
Publication statusPublished - 2010
Event23rd Australasian Joint Conference on Artificial Intelligence, AI 2010 - Adelaide, SA, Australia
Duration: 7 Dec 201010 Dec 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6464 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349


Other23rd Australasian Joint Conference on Artificial Intelligence, AI 2010
CityAdelaide, SA


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