An Analysis of the CHC model for Comparing Cognitive Architectures
Abstract There are many cognitive architectures available nowadays, and each architecture has its own different mechanisms. Therefore, we need to identify the advantages and disadvantages of these architectures in order to improve upon them. In this paper, we propose new metrics for comparing cognitive architectures based on the Cattell-Horn-Carroll (CHC) model, which is used in psychology to explain factors of intelligence. Here, we analyze factors of intelligence in the CHC model and interpret them as elements of a new cognitive architecture. Then, the CHC model is investigated with respect to “data” and “processing” to obtain a metric for each component. We present examples using Soar and LIDA to illustrate comparing different cognitive architectures and demonstrate the effectiveness of our approach.
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