CALM - A Process Model of Category Generalization, Abstraction and Structuring

AbstractIn this paper, we introduce CALM, a process model that is designed to abstract solutions in simple and complex category learning tasks. The model includes strong assumptions about the interaction of processes driving learning behavior, typically addressed in terms of feature attention, stimulus generalization, rule abstraction and knowledge partitioning. We present simulations of CALM, showing that the model can account both for systematic variations in Type II category difficulty, and for individual differences in extrapolation of an XOR category structure.


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