Updating Epistemic Logic Programs |
| |
Authors: | Zhang Yan |
| |
Affiliation: | Intelligent Systems Laboratory, School of Computing & Mathematics, University of Western Sydney, Penrith South DC, NSW 1797, Australia E-mail: yan{at}scm.uws.edu.au |
| |
Abstract: | We consider the problem of updating non-monotonic knowledgebases represented by epistemic logic programs where disjunctiveinformation and notions of knowledge and belief can be explicitlyexpressed. We propose a formulation for epistemic logic programupdate based on a principle called minimal change and maximalcoherence. The central feature of our approach is that duringan update or a sequence of updates, contradictory informationis removed on a basis of minimal change under the semanticsof epistemic logic programs and then coherent information ismaximally retained in the update result. Through various updatescenarios, we show that our approach provides both semanticand syntactic characterizations for an update problem. We alsoinvestigate essential semantic properties of epistemic logicprogram update. |
| |
Keywords: | Epistemic logic programs non-monotonic reasoning update |
本文献已被 Oxford 等数据库收录! |
|