Semantic forgetting in answer set programming
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| 53124_1.pdf | 391Kb | Adobe PDF | View |
| Title | Semantic forgetting in answer set programming |
|---|---|
| Author | Eiter, Thomas; Wang, Kewen |
| Journal Name | Artificial Intelligence |
| Editor | A G Cohn (Editor-in-Chief), C R Perrault (Editor-in-Chief) |
| Year Published | 2008 |
| Place of publication | Netherlands |
| Publisher | Elsevier |
| Abstract | The notion of forgetting, also known as variable elimination, has been investigated extensively in the context of classical logic, but less so in (nonmonotonic) logic programming and nonmonotonic reasoning. The few approaches that exist are based on syntactic modifications of a program at hand. In this paper, we establish a declarative theory of forgetting for disjunctive logic programs under answer set semantics that is fully based on semantic grounds. The suitability of this theory is justified by a number of desirable properties. In particular, one of our results shows that our notion of forgetting can be entirely captured by classical forgetting. We present several algorithms for computing a representation of the result of forgetting, and provide a characterization of the computational complexity of reasoning from a logic program under forgetting. As applications of our approach, we present a fairly general framework for resolving conflicts in inconsistent knowledge bases that are represented by disjunctive logic programs, and we show how the semantics of inheritance logic programs and update logic programs from the literature can be characterized through forgetting. The basic idea of the conflict resolution framework is to weaken the preferences of each agent by forgetting certain knowledge that causes inconsistency. In particular, we show how to use the notion of forgetting to provide an elegant solution for preference elicitation in disjunctive logic programming. |
| Peer Reviewed | Yes |
| Published | Yes |
| Alternative URI | http://dx.doi.org/10.1016/j.artint.2008.05.002 |
| Copyright Statement | Copyright 2008 Elsevier. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version. |
| Volume | 172 |
| Issue Number | 14 |
| Page from | 1644 |
| Page to | 1672 |
| ISSN | 0004-3702 |
| Date Accessioned | 2009-03-03 |
| Date Available | 2010-01-13T06:51:09Z |
| Language | en_AU |
| Research Centre | Institute for Integrated and Intelligent Systems |
| Faculty | Faculty of Science, Environment, Engineering and Technology |
| URI | http://hdl.handle.net/10072/26343 |
| Publication Type | Journal Articles (Refereed Article) |
| Publication Type Code | c1 |
Please use this identifier to cite this record: http://hdl.handle.net/10072/26343
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