Aligning Mental Representations

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.