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  Multi-Agent Dynamic Logics with Informational Test

Schmidt, R. A., & Tishkovsky, D. (2004). Multi-Agent Dynamic Logics with Informational Test. Annals of Mathematics and Artificial Intelligence, 42, 5-36.

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 Urheber:
Schmidt, Renate A.1, Autor           
Tishkovsky, Dmitry, Autor
Affiliations:
1Programming Logics, MPI for Informatics, Max Planck Society, ou_40045              

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 Zusammenfassung: This paper investigates a family of logics for reasoning about the dynamic activities and informational attitudes of agents, namely the agents' beliefs and knowledge. The logics are based on a new formalisation and semantics of the test operator of propositional dynamic logic and a representation of actions which distinguishes abstract actions from concrete actions. The new test operator, called informational test, can be used to formalise the beliefs and knowledge of particular agents as dynamic modalities. This approach is consistent with the formalisation of the agents' beliefs and knowledge as K(D)45 and S5 modalities. Properties concerning informativeness, truthfulness and preservation of beliefs are proved for a derivative of the informational test operator. It is shown that common belief and common knowledge can be expressed in the considered logics. This means, the logics are more expressive than propositional dynamic logic with an extra modality for belief or knowledge. The logics remain decidable and belong to 2EXPTIME. Versions of the considered logics express natural additional properties of beliefs or knowledge and interaction of beliefs or knowledge with actions. It is shown that a simulation of PDL can be constructed in one of these extensions.

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Sprache(n): eng - English
 Datum: 2005-02-022004
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: eDoc: 231267
Anderer: Local-ID: C1256104005ECAFC-E49AD91EC328DED4C1256EB6005EFFDD-SchmidtTishkovsky03c
 Art des Abschluß: -

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Titel: Annals of Mathematics and Artificial Intelligence
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 42 Artikelnummer: - Start- / Endseite: 5 - 36 Identifikator: ISSN: 1012-2443