Transitive Inference is a form of deductive reasoning that has been suggested as one cognitive mechanism by which animals could learn the many relationships within their group's dominance hierarchy. This process thus bears relevance to the social intelligence hypothesis which posits evolutionary links between various forms of social and nonsocial cognition. Recent evidence corroborates the link between social complexity and transitive inference and indicates that highly social animals may show superior transitive reasoning even in nonsocial contexts. We examined the relationship between social complexity and transitive inference in two species of prosimians, a group of primates that diverged from the common ancestor of monkeys, apes, and humans over 50 million years ago. In Experiment 1, highly social ring-tailed lemurs, Lemur catta, outperformed the less social mongoose lemurs, Eulemur mongoz, in tests of transitive inference and showed more robust representations of the underlying ordinal relationships between the stimuli. In Experiment 2, after training under a correction procedure that emphasized the underlying linear dimension of the series, both species showed similar transitive inference. This finding suggests that the two lemur species differ not in their fundamental ability to make transitive inferences, but rather in their predisposition to mentally organize information along a common underlying dimension. Together, these results support the hypothesis that social complexity is an important selective pressure for the evolution of cognitive abilities relevant to transitive reasoning.
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http://dx.doi.org/10.1016/j.anbehav.2008.01.025 | DOI Listing |
Commun Biol
December 2024
Department of Physiology and Pharmacology, Sapienza University, Rome, Italy.
Transitive inference allows people to infer new relations between previously experienced premises. It has been hypothesized that this logical thinking relies on a mental schema that spatially organizes elements, facilitating inferential insights. However, recent evidence challenges the need for these complex cognitive processes.
View Article and Find Full Text PDFAnim Cogn
November 2024
CNRS, INRAE, Université de Tours, PRC (Physiologie de la Reproduction et des Comportements), Nouzilly, Indre-et-Loire, F-37380, France.
Transitive inference (TI) is a disjunctive syllogism that allows an individual to indirectly infer a relationship between two components, by knowing their respective relationship to a third component (if A > B and B > C, then A > C). The common procedure is the 5-term series task, in which individuals are tested on indirect, unlearned relations. Few bird species have been tested for TI to date, which limits our knowledge of the phylogenetic spread of such reasoning ability.
View Article and Find Full Text PDFMem Cognit
October 2024
Department of Psychology, Reed College, 3203 SE Woodstock Blvd., Portland, Oregon, 97202, USA.
Transitive inference (TI), referring to one's ability to learn that if A > B and B > C, one can infer that A > C, is a form of serial learning that has been tested using a variety of experimental protocols. An element of most of these protocols is the presentation of some form of visual corrective feedback to help inform naïve participants about the nature of the task. Therefore, corrective feedback is often used as a critical tool for experimental TI.
View Article and Find Full Text PDFPsychon Bull Rev
October 2024
Institute of Cognitive Sciences and Technologies, National Research Council, 00185, Rome, Italy.
Transitive inference (TI) is a cognitive task that assesses an organism's ability to infer novel relations between items based on previously acquired knowledge. TI is known for exhibiting various behavioral and neural signatures, such as the serial position effect (SPE), symbolic distance effect (SDE), and the brain's capacity to maintain and merge separate ranking models. We propose a novel framework that casts TI as a probabilistic preference learning task, using one-parameter Mallows models.
View Article and Find Full Text PDFIEEE J Biomed Health Inform
October 2024
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