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A paraconsistent approach to actions in informationally complex environments
Univ Warsaw, Poland.
Univ Warsaw, Poland.
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Integrated Computer Systems. Linköping University, Faculty of Science & Engineering. Univ Warsaw, Poland.
2019 (English)In: Annals of Mathematics and Artificial Intelligence, ISSN 1012-2443, E-ISSN 1573-7470, Vol. 86, no 4, p. 231-255Article in journal (Refereed) Published
Abstract [en]

Contemporary systems situated in real-world open environments frequently have to cope with incomplete and inconsistent information that typically increases complexity of reasoning and decision processes. Realistic modeling of such informationally complex environments calls for nuanced tools. In particular, incomplete and inconsistent information should neither trivialize nor stop both reasoning or planning. The paper introduces ACTLOG, a rule-based four-valued language designed to specify actions in a paraconsistent and paracomplete manner. ACTLOG is an extension of 4QL(Bel), a language for reasoning with paraconsistent belief bases. Each belief base stores multiple world representations. In this context, ACTLOGs action may be seen as a belief bases transformer. In contrast to other approaches, ACTLOG actions can be executed even when the underlying belief base contents is inconsistent and/or partial. ACTLOG provides a nuanced action specification tools, allowing for subtle interplay among various forms of nonmonotonic, paraconsistent, paracomplete and doxastic reasoning methods applicable in informationally complex environments. Despite its rich modeling possibilities, it remains tractable. ACTLOG permits for composite actions by using sequential and parallel compositions as well as conditional specifications. The framework is illustrated on a decontamination case study known from the literature.

Place, publisher, year, edition, pages
SPRINGER , 2019. Vol. 86, no 4, p. 231-255
Keywords [en]
Action languages; Paraconsistent reasoning; Paracomplete reasoning; Doxastic reasoning; Belief bases
National Category
Information Systems
Identifiers
URN: urn:nbn:se:liu:diva-160169DOI: 10.1007/s10472-019-09627-9ISI: 000481781800001OAI: oai:DiVA.org:liu-160169DiVA, id: diva2:1349575
Note

Funding Agencies|Polish National Science Centre [2015/19/B/ST6/02589]; ELLIIT Network Organization for Information and Communication Technology; Swedish Foundation for Strategic Research FSR (SymbiKBot Project)

Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2019-09-09

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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Output format
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