Using a Hybrid Cognitive Architecture to Model Children’s Errors in an Analogy Task

John LicatoRensselaer Polytechnic Institute, Troy, NY, USA
Ron SunRensselaer Polytechnic Institute
Selmer BringsjordRensselaer Polytechnic Institute

Abstract

We model the performance of children on the Goswami and Brown (1990) analogy task, paying close attention to the distribution of errors children made on the task. This distribution follows a very particular pattern which, as we show, may be simulated by assuming a lack of development in the richness of children’s concepts of physical causation. This modeling is done using the hybrid cognitive architecture CLARION, and a method of representing structured knowledge within CLARION’s dual-process system.

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Using a Hybrid Cognitive Architecture to Model Children’s Errors in an Analogy Task (298 KB)



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