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Treffer: Knowledge assesment: A modal logic approach

Title:
Knowledge assesment: A modal logic approach
Authors:
Vineet Padmanabhan, Guido Governatori, Kaile Su
Contributors:
The Pennsylvania State University CiteSeerX Archives
Source:
http://espace.uq.edu.au/eserv/UQ:7747/kraq.pdf.
Publication Year:
2007
Collection:
CiteSeerX
Subject Terms:
Modal &, Epistemic Logics for Question Answering Systems, Question processing, interpretation models
Document Type:
Fachzeitschrift text
File Description:
application/pdf
Language:
English
Relation:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.142.3352; http://espace.uq.edu.au/eserv/UQ:7747/kraq.pdf
Availability:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.142.3352
http://espace.uq.edu.au/eserv/UQ:7747/kraq.pdf
Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number:
edsbas.59E3E9BE
Database:
BASE

Weitere Informationen

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).