dc.contributor.author | Zhuang, Zhiqiang | |
dc.contributor.author | Wang, Zhe | |
dc.contributor.author | Wang, Kewen | |
dc.contributor.author | Delgrande, James P | |
dc.contributor.editor | Yang, Q | |
dc.contributor.editor | Wooldridge, M | |
dc.date.accessioned | 2017-08-28T01:01:44Z | |
dc.date.available | 2017-08-28T01:01:44Z | |
dc.date.issued | 2015 | |
dc.identifier.issn | 1045-0823 | |
dc.identifier.uri | http://hdl.handle.net/10072/125325 | |
dc.description.abstract | Classic entrenchment-based contraction is not applicable to many useful logics, such as description logics. This is because the semantic construction refers to arbitrary disjunctions of formulas, while many logics do not fully support disjunction. In this paper, we present a new entrenchment-based contraction which does not rely on any logical connectives except conjunction. This contraction is applicable to all fragments of first-order logic that support conjunction. We provide a representation theorem for the contraction which shows that it satisfies all the AGM postulates except for the controversial Recovery Postulate, and is a natural generalisation of entrenchment-based contraction. | |
dc.description.peerreviewed | Yes | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Association for the Advancement of Artificial Intelligence (AAAI) | |
dc.publisher.uri | https://www.ijcai.org/Abstract/15/465 | |
dc.relation.ispartofpagefrom | 3299 | |
dc.relation.ispartofpageto | 3305 | |
dc.relation.ispartofjournal | Proceedings of the International Joint Conference on Artificial Intelligence | |
dc.relation.ispartofvolume | 2015 | |
dc.subject.fieldofresearch | Artificial intelligence not elsewhere classified | |
dc.subject.fieldofresearchcode | 460299 | |
dc.title | Extending AGM contraction to arbitrary logics | |
dc.type | Journal article | |
dc.type.description | C1 - Articles | |
dc.type.code | C - Journal Articles | |
dc.description.version | Version of Record (VoR) | |
gro.faculty | Griffith Sciences, School of Information and Communication Technology | |
gro.rights.copyright | © 2015 International Joint Conference on Artificial Intelligence. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version. | |
gro.hasfulltext | Full Text | |
gro.griffith.author | Wang, Kewen | |
gro.griffith.author | Wang, Zhe | |