Knowledge assessment: A modal logic approach

dc.contributor.author	Padmanabhan, Vineet
dc.contributor.author	Governatori, Guido
dc.contributor.author	Thakur, Subhasis
dc.date.accessioned	2022-03-27T05:51:28Z
dc.date.available	2022-03-27T05:51:28Z
dc.date.issued	2008-12-01
dc.description.abstract	The possible worlds semantics is a fruitful approach used in Artificial Intelligence (AI) for both modelling as well as reasoning about knowledge in agent systems via modal logics. In this work our main idea is not to model/reason about knowledge but to provide a theoretical framework for knowledge assessment (KA) with the help of Monatague-Scott (MS) semantics of modal logic. In KA questions asked and answers collected are the central elements and knowledge notions will be defined from these (i.e., possible states of knowledge of subjects in a population with respect to a field of information). © 2008 Springer Berlin Heidelberg.
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). v.5357 LNAI
dc.identifier.issn	03029743
dc.identifier.uri	10.1007/978-3-540-89674-6_35
dc.identifier.uri	http://link.springer.com/10.1007/978-3-540-89674-6_35
dc.identifier.uri	https://dspace.uohyd.ac.in/handle/1/8395
dc.subject	Interpretation models
dc.subject	Modal & amp; epistemic logics for question answering systems
dc.subject	Question processing
dc.title	Knowledge assessment: A modal logic approach
dc.type	Book Series. Conference Paper
dspace.entity.type

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