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Modelling Physics Knowledge Acquisition in Children with Machine Learning
Abstract
A computational approach to the simulation of cognitive modelling of children learning elementary physics is presented. Goal of the simulation is to support the cognitive scientist's investigation of learning in humans. The Machine Learning system WHY , able to handle domain knowledge (including a causal model of the domain), has been chosen as tool for the simulation of the cognitive development. In this paper the focus will be on knowledge representation schemes, useful to support further modelling of conceptual change.
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