Open AccessThe Redundancy Effect on Human Predictive Learning: Evidence against a Propositional Interpretation
Author(s) -
Jorge Andrés Pinto Pinto,
Daniel Núñez
Publication year - 2020
Publication title -
revista argentina de ciencias del comportamiento
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.147
H-Index - 3
ISSN - 1852-4206
DOI - 10.32348/1852.4206.v12.n3.25293
Subject(s) - stimulus (psychology) , associative property , redundancy (engineering) , psychology , associative learning , phenomenon , artificial intelligence , cognitive psychology , computer science , natural language processing , machine learning , mathematics , physics , quantum mechanics , pure mathematics , operating system
The redundancy effect is the finding of greater learning when an X stimulus is trained in an A+ AX+ blocking procedure, than when a Y stimulus is trained in a BY+ CY- discrimination procedure. These findings are new and theoretically challenging for all conditioning theories that calculate learning based on a common error. For this reason, we alternatively examined the possibility that the phenomenon is the result of a propositional reasoning. In an experiment, we replicated the basic effect and we found out that the addition of instructions on the occurrence of the consequences at a submaximal level does not have a significant impact on the redundancy effect. These findings are discussed with regard to a propositional and associative approach based on the assumption that the experimental stimuli share a common feature.