This work introduces a framework that implements asymmetric communication theory proposed by Sperber and Wilson . The framework applies a generalization model known as the Bayesian model of generalization (BMG)  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  representing semantic structures of domain knowledge possessed by individual subjects . Results indicate that the BMG is potentially a model applicable to simulating the alignment of domain knowledge from the information receiver’s viewpoint.
|Tidsskrift||Journal of Advanced Computational Intelligence and Intelligent Informatics|
|Status||Udgivet - jul. 2013|