Abstract
A Computational model of the Equivalence Class formation psychological phenomenon is presented. We develop our model based on the Self-Organized-Feature-Maps (SOFM) Artificial Neural Network (ANN) architecture which is used as a sort of associative memory. By means of a punishment/reward signal we model the induction of Equivalence Classes and we show that the proposed model fulfils the basic set of characteristics of induced Equivalence Classes observed in documented psychological experiments realized in Humans and non-Human Animals. © 2007 Springer-Verlag Berlin Heidelberg.
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Martín H., J. A., Santos, M., García, A., & Lope, J. (2007). A computational model of the equivalence class formation psychological phenomenon. In Advances in Soft Computing (Vol. 44, pp. 104–111). https://doi.org/10.1007/978-3-540-74972-1_15
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