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.
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Martín H., J.A., Santos, M., García, A., de Lope, J. (2007). A Computational Model of the Equivalence Class Formation Psychological Phenomenon. In: Corchado, E., Corchado, J.M., Abraham, A. (eds) Innovations in Hybrid Intelligent Systems. Advances in Soft Computing, vol 44. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74972-1_15
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DOI: https://doi.org/10.1007/978-3-540-74972-1_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74971-4
Online ISBN: 978-3-540-74972-1
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