Cargando…

Integrating Categorization and Decision‐Making

Though individual categorization or decision processes have been studied separately in many previous investigations, few studies have investigated how they interact by using a two‐stage task of first categorizing and then deciding. To address this issue, we investigated a categorization‐decision tas...

Descripción completa

Detalles Bibliográficos
Autores principales: Zheng, Rong, Busemeyer, Jerome R., Nosofsky, Robert M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078468/
https://www.ncbi.nlm.nih.gov/pubmed/36655984
http://dx.doi.org/10.1111/cogs.13235
_version_ 1785020526256717824
author Zheng, Rong
Busemeyer, Jerome R.
Nosofsky, Robert M.
author_facet Zheng, Rong
Busemeyer, Jerome R.
Nosofsky, Robert M.
author_sort Zheng, Rong
collection PubMed
description Though individual categorization or decision processes have been studied separately in many previous investigations, few studies have investigated how they interact by using a two‐stage task of first categorizing and then deciding. To address this issue, we investigated a categorization‐decision task in two experiments. In both, participants were shown six faces varying in width, first asked to categorize the faces, and then decide a course of action for each face. Each experiment was designed to include three groups, and for each group, we manipulated the probabilistic contingencies between stimulus, category assignments, and decision consequences. For each group, each participant received three different sequences of category response, category feedback, decision response, and decision feedback. We found that participants were only partially responsive in the appropriate directions to the contingencies assigned to each group. Comparisons of results from different sequences provided evidence for empirical interference effects of categorization on decisions. The empirical interference effect is defined as the difference between the probability of taking a hostile action in decision‐alone conditions and the total probability of taking a hostile action in categorization‐decision conditions. To test competing accounts for multiple empirical results, including two‐stage choice probabilities and empirical interference effects, we compared a quantum cognition model versus a two‐stage exemplar categorization model at both aggregate and individual levels. Using a Bayesian information criterion, we found that the quantum model provided an overall better model fit than the exemplar model. Although both models predicted empirical interference effects, the exemplar model was able to generate probabilistic deviation by incorporating category information of the first stage into the feature representation of the subsequent decision stage, while the quantum model produced interference effect by superposition, measurement, and quantum entanglement.
format Online
Article
Text
id pubmed-10078468
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-100784682023-04-07 Integrating Categorization and Decision‐Making Zheng, Rong Busemeyer, Jerome R. Nosofsky, Robert M. Cogn Sci Regular Article Though individual categorization or decision processes have been studied separately in many previous investigations, few studies have investigated how they interact by using a two‐stage task of first categorizing and then deciding. To address this issue, we investigated a categorization‐decision task in two experiments. In both, participants were shown six faces varying in width, first asked to categorize the faces, and then decide a course of action for each face. Each experiment was designed to include three groups, and for each group, we manipulated the probabilistic contingencies between stimulus, category assignments, and decision consequences. For each group, each participant received three different sequences of category response, category feedback, decision response, and decision feedback. We found that participants were only partially responsive in the appropriate directions to the contingencies assigned to each group. Comparisons of results from different sequences provided evidence for empirical interference effects of categorization on decisions. The empirical interference effect is defined as the difference between the probability of taking a hostile action in decision‐alone conditions and the total probability of taking a hostile action in categorization‐decision conditions. To test competing accounts for multiple empirical results, including two‐stage choice probabilities and empirical interference effects, we compared a quantum cognition model versus a two‐stage exemplar categorization model at both aggregate and individual levels. Using a Bayesian information criterion, we found that the quantum model provided an overall better model fit than the exemplar model. Although both models predicted empirical interference effects, the exemplar model was able to generate probabilistic deviation by incorporating category information of the first stage into the feature representation of the subsequent decision stage, while the quantum model produced interference effect by superposition, measurement, and quantum entanglement. John Wiley and Sons Inc. 2023-01-19 2023-01 /pmc/articles/PMC10078468/ /pubmed/36655984 http://dx.doi.org/10.1111/cogs.13235 Text en © 2023 The Authors. Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society (CSS). https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Regular Article
Zheng, Rong
Busemeyer, Jerome R.
Nosofsky, Robert M.
Integrating Categorization and Decision‐Making
title Integrating Categorization and Decision‐Making
title_full Integrating Categorization and Decision‐Making
title_fullStr Integrating Categorization and Decision‐Making
title_full_unstemmed Integrating Categorization and Decision‐Making
title_short Integrating Categorization and Decision‐Making
title_sort integrating categorization and decision‐making
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078468/
https://www.ncbi.nlm.nih.gov/pubmed/36655984
http://dx.doi.org/10.1111/cogs.13235
work_keys_str_mv AT zhengrong integratingcategorizationanddecisionmaking
AT busemeyerjeromer integratingcategorizationanddecisionmaking
AT nosofskyrobertm integratingcategorizationanddecisionmaking