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	Preferential Multi-Context Systems
	Mu, Kedian ; Wang, Kewen ; Wen, Lian
	2016
关键词	Multi-context systems Equilibrium Diagnosis Inconsistency AMBIENT INTELLIGENCE INCONSISTENCY VIEWPOINTS CONFLICTS
英文摘要	Multi-Context Systems (MCSs) introduced by Brewka and Eiter are a promising way to interlink decentralized and heterogeneous knowledge contexts. In this paper, we propose Preferential Multi-Context Systems (PMCSs), which provide a framework for incorporating preference over contexts in MCSs. In such a PMCS, its contexts are divided into different strata according to the preference such that information flows only from a context to contexts in the same stratum or less preferred strata. Given a positive integer l, the first l preferred strata of a PMCS are able to fully capture information exchange between the contexts of these strata, and thus these contexts form a new PMCS called the l-section of the original PMCS. We generalize the equilibrium semantics for an MCS to l(<=)-equilibria for a PMCS. An l(<=)-equilibrium represents a belief state that is acceptable at least for the l-section of the given PMCS. We also investigate inconsistency analysis in PMCS and related computational complexity issues. (C) 2016 Elsevier Inc. All rights reserved.; National Natural Science Foundation of China [61572002, 61170300]; Australian Research Council [DP110101042]; Griffith University-Peking University collaborative Research Scheme; SCI(E); EI; ARTICLE; mukedian@math.pku.edu.cn; 39-56; 75
语种	英语
出处	EI ; SCI
出版者	INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/437068]
专题	数学科学学院
推荐引用方式 GB/T 7714	Mu, Kedian,Wang, Kewen,Wen, Lian. Preferential Multi-Context Systems. 2016-01-01.

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