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Issue title: Concurrency, Specification and Programming (CS&P)
Guest editors: Ludwik Czaja, Wojciech Penczek and Krzysztof Stencel
Article type: Research Article
Authors: Nguyen, Linh Anha; b; *
Affiliations: [a] Division of Knowledge and System Engineering for ICT, Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam. [email protected] | [b] Institute of Informatics, University of Warsaw, Banacha 2, 02-097 Warsaw, Poland. [email protected]
Correspondence: [*] Address for correspondence: Division of Knowledge and System Engineering for ICT, Faculty of Information Technology, Ton Duc Thang University, No. 19, Nguyen Huu Tho Street, Tan Phong Ward, District 7, Ho Chi Minh City, Vietnam
Abstract: Combining CPDL (Propositional Dynamic Logic with Converse) and regular grammar logic results in an expressive modal logic denoted by CPDLreg. This logic covers TEAMLOG, a logical formalism used to express properties of agents’ cooperation in terms of beliefs, goals and intentions. It can also be used as a description logic for expressing terminological knowledge, in which both regular role inclusion axioms and CPDL-like role constructors are allowed. In this paper, we develop an expressive and tractable rule language called Horn-CPDLreg. As a special property, this rule language allows the concept constructor “universal restriction” to appear on the left hand side of general concept inclusion axioms. We use a special semantics for Horn-CPDLreg that is based on pseudo-interpretations. It is called the constructive semantics and coincides with the traditional semantics when the concept constructor “universal restriction” is disallowed on the left hand side of concept inclusion axioms or when the language is used as an epistemic formalism and the accessibility relations are serial. We provide an algorithm with PTIME data complexity for checking whether a knowledge base in Horn-CPDLreg has a pseudo-model. This shows that the instance checking problem in Horn-CPDLreg with respect to the constructive semantics has PTIME data complexity.
DOI: 10.3233/FI-2016-1307
Journal: Fundamenta Informaticae, vol. 143, no. 1-2, pp. 113-139, 2016
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