Aligning Mental Representations

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    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.
    TidsskriftJournal of Advanced Computational Intelligence and Intelligent Informatics
    Udgave nummer4
    Sider (fra-til)663-669
    StatusUdgivet - 2013


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