Chandler, Jake and Booth, Richard  ORCID: https://orcid.org/0000-0002-6647-6381
2025.
Parallel belief contraction via order aggregation.
Presented at: 34th International Joint Conference on Artificial Intelligence (IJCAI 2025),
Montreal, Canada,
16-22 August 2025.
Published in: Kwok, James ed.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence.
IJCAI,
pp. 4427-4435.
10.24963/ijcai.2025/493
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Abstract
The standard ``serial'' (aka ``singleton'') model of belief contraction models the manner in which an agent's corpus of beliefs responds to the removal of a single item of information. One salient extension of this model introduces the idea of ``parallel'' (aka ``package'' or ``multiple'') change, in which an entire set of items of information are simultaneously removed. Existing research on the latter has largely focussed on single-step parallel contraction: understanding the behaviour of beliefs after a single parallel contraction. It has also focussed on generalisations to the parallel case of serial contraction operations whose characteristic properties are extremely weak. Here we consider how to extend serial contraction operations that obey stronger properties. Potentially more importantly, we also consider the iterated case: the behaviour of beliefs after a sequence of parallel contractions. We propose a general method for extending serial iterated belief change operators to handle parallel change based on an n-ary generalisation of Booth & Chandler's TeamQueue binary order aggregators.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Computer Science & Informatics |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Publisher: | IJCAI |
| Date of First Compliant Deposit: | 21 May 2025 |
| Date of Acceptance: | 29 April 2025 |
| Last Modified: | 30 Sep 2025 10:59 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/178410 |
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