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Aligning Mental Representations

Publikation: Forskning - peer reviewTidsskriftartikel

This work introduces a framework that implements asymmetric communication theory proposed by Sperber and Wilson [1]. The framework applies a generalization model known as the Bayesian model of generalization (BMG) [2] for aligning knowledge possessed by two communicating parties. The work focuses on the application of the BMG to publicly available datasets, the Leuven natural concept database [3] representing semantic structures of domain knowledge possessed by individual subjects [3]. Results indicate that the BMG is potentially a model applicable to simulating the alignment of domain knowledge from the information receiver’s viewpoint.

Publikationsoplysninger

OriginalsprogEngelsk
TidsskriftJournal of Advanced Computational Intelligence and Intelligent Informatics
Vol/bind17
Tidsskriftsnummer4
Sider (fra-til)663-669
ISSN1343-0130
StatusUdgivet - 2013
Scopus citationer

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  • Similarity, Generalization, Semantic representation, Communication theory, Knowledge alignment

ID: 38655466