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Dryad

Logical inferences from visual and auditory information in ruffed lemurs and sifakas

Cite this dataset

De Petrillo, Francesca; Rosati, Alexandra (2020). Logical inferences from visual and auditory information in ruffed lemurs and sifakas [Dataset]. Dryad. https://doi.org/10.5061/dryad.c59zw3r44

Abstract

Inference by exclusion, or the ability to select a correct course of action by systematically excluding other potential alternatives, is a form of logical inference that allow individuals to solve problems without complete information. Current comparative research shows that several bird, mammal, and primate species can find hidden food through inference by exclusion. Yet there is also wide variation in how successful different species are, as well kinds of sensory information they can use to do so. An important question is therefore why some species are better at engaging in logical inference than others. Here, we investigate the evolution of logical reasoning abilities by comparing two strepsirrhine primate species that vary in dietary ecology: frugivorous ruffed lemur (Varecia spp.) and folivorous Coquerel’s sifakas (Propithecus coquereli). Across two studies, we examined their abilities to locate food using direct information versus inference from exclusion and using both visual and auditory information. In Study 1, we assessed whether these lemurs could make inferences when full visual and auditory information about the two potential locations of food were provided. In Study 2, we then compared their ability to make direct inferences versus inferences by exclusion in both the visual and auditory domains. We found that both lemur species can use visual information to find food, but that only ruffed lemurs were also able to use auditory cues, mirroring differences in the complexity of their wild ecology. We further found that, unlike many anthropoid species tested to date, both strepsirrhine species failed to make inferences by exclusion. These results highlight the importance of natural history in understanding the evolution of logical inference, and help reconstruct the deeper phylogeny of primate cognition.

Methods

Please refer to manuscript for all methodological details.

Usage notes

Please see key in data files for all information.

Funding

Alfred P. Sloan Foundation

National Science Foundation, Award: 1944881

Agence Nationale de la Recherche

ANR Labex IAST

ANR Labex IAST