A Computational Model of the Equivalence Class Formation Psychological Phenomenon

  • José Antonio Martín H.
  • Matilde Santos
  • Andrés García
  • Javier de Lope
Part of the Advances in Soft Computing book series (AINSC, volume 44)


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.


Self-Organization Reinforcement Learning Equivalence classes Neuro-Computing behavioral simulation 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • José Antonio Martín H.
    • 1
  • Matilde Santos
    • 1
  • Andrés García
    • 2
  • Javier de Lope
    • 3
  1. 1.Facultad de InformáticaUniversidad Complutense de MadridMadrid
  2. 2.Facultad de PsicologíaUniversidad Nacional de Educación a DistanciaSpain
  3. 3.Dept. Sistemas Inteligentes AplicadosUniversidad Politécnica de MadridMadrid

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