<div class="csl-bib-body">
<div class="csl-entry">Haret, A., & Woltran, S. (2019). Belief Revision Operators with Varying Attitudes Towards Initial Beliefs. In S. Kraus (Ed.), <i>Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, {IJCAI} 2019</i> (pp. 1726–1733). ijcai.org. https://doi.org/10.24963/ijcai.2019/239</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/57894
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dc.description.abstract
Classical axiomatizations of belief revision include a postulate stating that if new information is consistent with initial beliefs, then revision amounts to simply adding the new information to the original knowledge base. This postulate assumes a conservative attitude towards initial beliefs, in the sense that an agent faced with the need to revise them will seek to preserve initial beliefs as much as possible. In this work we look at operators that can assume different attitudes towards original beliefs. We provide axiomatizations of these operators by varying the aforementioned postulate and obtain representation results that characterize the new types of operators using preorders on possible worlds. We also present concrete examples for each new type of operator, adapting notions from decision theory.
en
dc.description.sponsorship
Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
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dc.language.iso
en
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dc.publisher
ijcai.org
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dc.subject
Knowledge Representation and Reasoning: Belief Change
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dc.subject
Reasoning about Knowlege and Belief
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dc.title
Belief Revision Operators with Varying Attitudes Towards Initial Beliefs
en
dc.type
Konferenzbeitrag
de
dc.type
Inproceedings
en
dc.relation.publication
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, {IJCAI} 2019
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dc.relation.isbn
978-0-9992411-4-1
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dc.relation.doi
10.24963/ijcai.2019
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dc.description.startpage
1726
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dc.description.endpage
1733
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dc.relation.grantno
Y 698-N23
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, {IJCAI} 2019
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tuw.peerreviewed
true
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tuw.relation.publisher
International Joint Conferences on Artificial Intelligence Organization
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tuw.relation.publisherplace
California
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tuw.project.title
START
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tuw.project.title
EMBArg
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tuw.researchTopic.id
I1
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tuw.researchTopic.name
Logic and Computation
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E192-02 - Forschungsbereich Databases and Artificial Intelligence
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tuw.publisher.doi
10.24963/ijcai.2019/239
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dc.description.numberOfPages
8
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tuw.event.name
IJCAI 2019 - 28th International Joint Conference on Artificial Intelligence
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tuw.event.startdate
10-08-2019
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tuw.event.enddate
16-08-2019
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Macao
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tuw.event.country
CN
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tuw.event.presenter
Haret, Adrian
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wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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wb.facultyfocus
Logic and Computation (LC)
de
wb.facultyfocus
Logic and Computation (LC)
en
wb.facultyfocus.faculty
E180
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wb.presentation.type
science to science/art to art
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item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.grantfulltext
none
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.languageiso639-1
en
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item.openairetype
conference paper
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crisitem.project.funder
FWF Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
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crisitem.project.grantno
P30168-N31
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crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence
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crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence