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Partiality and Inconsistency in Agents' Belief Bases
2013 (English)In: Advanced Methods and Technologies for Agent and Multi-Agent Systems: Proceedings of the 7th KES Conference on Agent and Multi-Agent Systems - Technologies and Applications (KES-AMSTA 2013) / [ed] Dariusz Barbucha, Manh Thanh Le, Robert J. Howlett, Lakhmi C. Jain, IOS Press, 2013, 3-17Conference paper (Refereed)
Abstract [en]

Agents' beliefs can be incomplete and partially inconsistent. The process of agents' belief formation in such contexts has to be supported by suitable tools allowing one to express a variety of inconsistency resolving and nonmonotonic reasoning techniques.

In this paper we discuss 4QL*, a general purpose rule-based query language allowing one to use rules with negation in the premises and in the conclusions of rules. It is based on a simple and intuitive semantics and provides uniform tools for lightweight versions of well-known forms of nonmonotonic reasoning. In addition, it is tractable w.r.t. data complexity and captures PTIME queries, so can be used in real-world applications.

Reasoning in 4QL* is based on well-supported models. We simplify and at the same time generalize previous definitions of well-supported models and develop a new algorithm for computing such models.

Series
Frontiers in Artificial Intelligence and Applications, ISSN 0922-6389 (print), 1879-8314 (online ; 252
National Category
Computer Systems
Identifiers
urn:nbn:se:liu:diva-107345 (URN)10.3233/978-1-61499-254-7-3 (DOI)000339335600001 (ISI)978-1-61499-253-0 (ISBN)oai:DiVA.org:liu-107345 (OAI)diva2:723547 (DiVA)
Conference
7th KES Conference on Agent and Multi-Agent Systems - Technologies and Applications (KES-AMSTA 2013), 27-29 May 2013, Hue City, Vietnam
Available from2014-06-11 Created:2014-06-11 Last updated:2014-11-28Bibliographically approved

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Maluszynski, JanSzalas, Andrzej
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TCSLAB - Theoretical Computer Science LaboratoryThe Institute of TechnologyKPLAB - Knowledge Processing Lab
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