Abstract: From 1982 to 2015, many concepts have been added to Stimulus Equivalence paradigm and they do not explain how a person can acquire so many words into his /her repertory. This paper presents a short review of such concepts, from Sidman & Tailby's sets that produced unexplained untrained relations among arbitrary elements emerging new equivalent classes, to the change of the paradigm with Fields, Verhave and Fath introducing the nodal distance and naming as node a bi-linked stimulus through training, and the MTS (Matching-To-Sample) graph operator of Oliveira. A net of nodes linked by trained relations may show special properties, such as weight, distance, density, among others. The papers on Stimulus Equivalence propose mostly the study on the limits of the network growth (changing number of nodes, changing the number of elements in each set, strength of the link on trained and untrained relations, etc.) and the hybrid experiments composing more than one of those characteristics. A discussion on the limits based on the strategies of teaching such as SaN and CaN, linear chains or mixed structures is also provided. This theoretical study concludes that composing and multiplication of such nets is still lacking of study. |