Causal reasoning in rats' behaviour systems

Detalhes bibliográficos
Autor(a) principal: Bowers, Robert Ian
Data de Publicação: 2018
Outros Autores: Timberlake, William
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/65960
Resumo: Conceiving of stimuli and responses as causes and effects, and assuming that rats acquire representational models of causal relations from Pavlovian procedures, previous work by causal model theory proponents attempted to train rat subjects to represent stimulus A as a cause of both stimulus B and food. By these assumptions, with formal help from Bayesian networks, self-production of stimulus B should reduce expectation of alternative causes, including stimulus A, and their effects, including food. Reduced feeder-directed responding to stimulus B when self-produced has been taken as evidence for a general causal reasoning capacity among rats involving mental maps of causal relations. Critics have rejoined that response competition can explain these effects. The present research replicates the key effect, but uses continuous and finer-grained measurement of a broader range of behaviours. Behaviours not recorded in previous studies contradict both prior explanations. Even results cited in support of these explanations, when measured in finer detail and continuously over longer periods, show patterns not expected by either view, but supportive of a specific-process approach with attention to motivational factors. Still, the abstract prediction from Bayesian networks holds, providing a potentially complementary normative analysis. Behaviour systems theory provides firmer framing for such theories than representational-map alternatives.
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spelling Causal reasoning in rats' behaviour systemscausal reasoningbehaviour systemsBayesian networkscausal model theorycognitive modellingRattus norvegicusCiências Sociais::PsicologiaScience & TechnologyConceiving of stimuli and responses as causes and effects, and assuming that rats acquire representational models of causal relations from Pavlovian procedures, previous work by causal model theory proponents attempted to train rat subjects to represent stimulus A as a cause of both stimulus B and food. By these assumptions, with formal help from Bayesian networks, self-production of stimulus B should reduce expectation of alternative causes, including stimulus A, and their effects, including food. Reduced feeder-directed responding to stimulus B when self-produced has been taken as evidence for a general causal reasoning capacity among rats involving mental maps of causal relations. Critics have rejoined that response competition can explain these effects. The present research replicates the key effect, but uses continuous and finer-grained measurement of a broader range of behaviours. Behaviours not recorded in previous studies contradict both prior explanations. Even results cited in support of these explanations, when measured in finer detail and continuously over longer periods, show patterns not expected by either view, but supportive of a specific-process approach with attention to motivational factors. Still, the abstract prediction from Bayesian networks holds, providing a potentially complementary normative analysis. Behaviour systems theory provides firmer framing for such theories than representational-map alternatives.This project was supported by funding from the Cognitive Science programme at Indiana University, and supplemented by a research support fellowship from the Center for Integrative Study of Animal Behavior at Indiana University. Preparation of the manuscript at the Psychology Research Centre (PSI/01662), University of Minho, was supported by the Portuguese Foundation for Science and Technology and the Portuguese Ministry of Science, Technology and Higher Education through national funds and co-financed by FEDER through COMPETE2020 under the PT2020 Partnership Agreement (POCI-01-0145-FEDER-007653).Royal SocietyUniversidade do MinhoBowers, Robert IanTimberlake, William20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/65960engBowers RI, Timberlake W. 2018 Causal reasoning in rats’ behaviour systems.R. Soc. open sci.5: 171448. http://dx.doi.org/10.1098/rsos.1714482054-570310.1098/rsos.171448https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.171448info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:42:43Zoai:repositorium.sdum.uminho.pt:1822/65960Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:40:02.001966Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Causal reasoning in rats' behaviour systems
title Causal reasoning in rats' behaviour systems
spellingShingle Causal reasoning in rats' behaviour systems
Bowers, Robert Ian
causal reasoning
behaviour systems
Bayesian networks
causal model theory
cognitive modelling
Rattus norvegicus
Ciências Sociais::Psicologia
Science & Technology
title_short Causal reasoning in rats' behaviour systems
title_full Causal reasoning in rats' behaviour systems
title_fullStr Causal reasoning in rats' behaviour systems
title_full_unstemmed Causal reasoning in rats' behaviour systems
title_sort Causal reasoning in rats' behaviour systems
author Bowers, Robert Ian
author_facet Bowers, Robert Ian
Timberlake, William
author_role author
author2 Timberlake, William
author2_role author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Bowers, Robert Ian
Timberlake, William
dc.subject.por.fl_str_mv causal reasoning
behaviour systems
Bayesian networks
causal model theory
cognitive modelling
Rattus norvegicus
Ciências Sociais::Psicologia
Science & Technology
topic causal reasoning
behaviour systems
Bayesian networks
causal model theory
cognitive modelling
Rattus norvegicus
Ciências Sociais::Psicologia
Science & Technology
description Conceiving of stimuli and responses as causes and effects, and assuming that rats acquire representational models of causal relations from Pavlovian procedures, previous work by causal model theory proponents attempted to train rat subjects to represent stimulus A as a cause of both stimulus B and food. By these assumptions, with formal help from Bayesian networks, self-production of stimulus B should reduce expectation of alternative causes, including stimulus A, and their effects, including food. Reduced feeder-directed responding to stimulus B when self-produced has been taken as evidence for a general causal reasoning capacity among rats involving mental maps of causal relations. Critics have rejoined that response competition can explain these effects. The present research replicates the key effect, but uses continuous and finer-grained measurement of a broader range of behaviours. Behaviours not recorded in previous studies contradict both prior explanations. Even results cited in support of these explanations, when measured in finer detail and continuously over longer periods, show patterns not expected by either view, but supportive of a specific-process approach with attention to motivational factors. Still, the abstract prediction from Bayesian networks holds, providing a potentially complementary normative analysis. Behaviour systems theory provides firmer framing for such theories than representational-map alternatives.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01T00:00:00Z
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dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/65960
url http://hdl.handle.net/1822/65960
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Bowers RI, Timberlake W. 2018 Causal reasoning in rats’ behaviour systems.R. Soc. open sci.5: 171448. http://dx.doi.org/10.1098/rsos.171448
2054-5703
10.1098/rsos.171448
https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.171448
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Royal Society
publisher.none.fl_str_mv Royal Society
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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