dc.contributor.author | Tovar, Ángel Eugenio | |
dc.contributor.author | Torres-Chávez, Álvaro | |
dc.contributor.author | Abolpour Mofrad, Asieh | |
dc.contributor.author | Arntzen, Erik | |
dc.date.accessioned | 2024-01-04T12:26:00Z | |
dc.date.available | 2024-01-04T12:26:00Z | |
dc.date.created | 2023-02-25T18:43:04Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Journal of The Experimental Analysis of Behavior. 2023, 119 (2), 407-425. | en_US |
dc.identifier.issn | 0022-5002 | |
dc.identifier.uri | https://hdl.handle.net/11250/3109840 | |
dc.description.abstract | Stimulus equivalence is a central paradigm in the analysis of symbolic behavior,
language, and cognition. It describes emergent relations between stimuli that were
not explicitly trained and cannot be explained by primary stimulus generalization.
In recent years, researchers have developed computational models to simulate the
learning of equivalence relations. These models have been used to address primary
theoretical and methodological issues in this field, such as exploring the underly-
ing mechanisms that explain emergent equivalence relations and analyzing the
effects of training and testing protocols on equivalence outcomes. Nonetheless,
although these models build upon general learning principles, their operation is
usually obscure for nonmodelers, and in the field of stimulus equivalence compu-
tational models have been developed with a variety of approaches, architectures,
and algorithms that make it difficult to understand the scope and contributions of
these tools. In this paper, we present the state of the art in computational model-
ing of stimulus equivalence. We seek to provide concise and accessible descrip-
tions of the models’ functioning and operation, highlight their main theoretical
and methodological contributions, identify the existing software available for
researchers to run experiments, and suggest future directions in the emergent field
of computational modeling of stimulus equivalence. | en_US |
dc.language.iso | eng | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Computational models of stimulus equivalence: An intersection for the study of symbolic behavior | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 2 | |
dc.identifier.doi | 10.1002/jeab.829 | |
dc.identifier.cristin | 2129268 | |
dc.source.journal | Journal of The Experimental Analysis of Behavior | en_US |
dc.source.volume | 119 | en_US |
dc.source.issue | 2 | en_US |
dc.source.pagenumber | 407-425 | en_US |