Reasoning Through the Disjunctive Syllogism in Monkeys.

comparative cognition disjunctive syllogism inference logic primates reasoning

Journal

Psychological science
ISSN: 1467-9280
Titre abrégé: Psychol Sci
Pays: United States
ID NLM: 9007542

Informations de publication

Date de publication:
02 2021
Historique:
pubmed: 26 1 2021
medline: 19 8 2021
entrez: 25 1 2021
Statut: ppublish

Résumé

The capacity for logical inference is a critical aspect of human learning, reasoning, and decision-making. One important logical inference is the disjunctive syllogism: given A or B, if not A, then B. Although the explicit formation of this logic requires symbolic thought, previous work has shown that nonhuman animals are capable of reasoning by exclusion, one aspect of the disjunctive syllogism (e.g., not A = avoid empty). However, it is unknown whether nonhuman animals are capable of the deductive aspects of a disjunctive syllogism (the dependent relation between A and B and the inference that "if not A, then B" must be true). Here, we used a food-choice task to test whether monkeys can reason through an entire disjunctive syllogism. Our results show that monkeys do have this capacity. Therefore, the capacity is not unique to humans and does not require language.

Identifiants

pubmed: 33493085
doi: 10.1177/0956797620971653
pmc: PMC8258310
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

292-300

Subventions

Organisme : NICHD NIH HHS
ID : R01 HD064636
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States

Commentaires et corrections

Type : CommentIn

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Auteurs

Stephen Ferrigno (S)

Department of Psychology, Harvard University.
Seneca Park Zoo, Rochester, NY.

Yiyun Huang (Y)

Seneca Park Zoo, Rochester, NY.
Department of Psychology, Yale University.

Jessica F Cantlon (JF)

Seneca Park Zoo, Rochester, NY.
Department of Psychology, Carnegie Mellon University.

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Classifications MeSH