Literature DB >> 18309524

Inferential reasoning by exclusion in pigeons, dogs, and humans.

Ulrike Aust1, Friederike Range, Michael Steurer, Ludwig Huber.   

Abstract

The ability to reason by exclusion (which is defined as the selection of the correct alternative by logically excluding other potential alternatives; Call in Anim Cogn 9:393-403 2006) is well established in humans. Several studies have found it to be present in some nonhuman species as well, whereas it seems to be somewhat limited or even absent in others. As inconsistent methodology might have contributed to the revealed inter-species differences, we examined reasoning by exclusion in pigeons (n = 6), dogs (n = 6), students (n = 6), and children (n = 8) under almost equal experimental conditions. After being trained in a computer-controlled two-choice procedure to discriminate between four positive (S+) and four negative (S-) photographs, the subjects were tested with displays consisting of one S- and one of four novel stimuli (S'). One pigeon, half of the dogs and almost all humans preferred S' over S-, thereby choosing either by novelty, or by avoiding S- without acquiring any knowledge about S', or by inferring positive class membership of S' by excluding S-. To decide among these strategies the subjects that showed a preference for S' were then tested with displays consisting of one of the S' and one of four novel stimuli (S''). Although the pigeon preferentially chose the S'' and by novelty, dogs and humans maintained their preference for S', thereby showing evidence of reasoning by exclusion. Taken together, the results of the present study suggest that none of the pigeons, but half of the dogs and almost all humans inferred positive class membership of S' by logically excluding S-.

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Year:  2008        PMID: 18309524     DOI: 10.1007/s10071-008-0149-0

Source DB:  PubMed          Journal:  Anim Cogn        ISSN: 1435-9448            Impact factor:   3.084


  21 in total

1.  Is caching the key to exclusion in corvids? The case of carrion crows (Corvus corone corone).

Authors:  Sandra Mikolasch; Kurt Kotrschal; Christian Schloegl
Journal:  Anim Cogn       Date:  2011-07-13       Impact factor: 3.084

2.  Exclusion in the field: wild brown skuas find hidden food in the absence of visual information.

Authors:  Samara Danel; Jules Chiffard-Carricaburu; Francesco Bonadonna; Anna P Nesterova
Journal:  Anim Cogn       Date:  2021-02-16       Impact factor: 3.084

3.  Use of exclusion by a chimpanzee (Pan troglodytes) during speech perception and auditory-visual matching-to-sample.

Authors:  Michael J Beran
Journal:  Behav Processes       Date:  2010-02-01       Impact factor: 1.777

4.  Unsupervised learning of complex associations in an animal model.

Authors:  Leyre Castro; Edward A Wasserman; Marisol Lauffer
Journal:  Cognition       Date:  2017-12-28

5.  Visual artificial grammar learning: comparative research on humans, kea (Nestor notabilis) and pigeons (Columba livia).

Authors:  Nina Stobbe; Gesche Westphal-Fitch; Ulrike Aust; W Tecumseh Fitch
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-07-19       Impact factor: 6.237

6.  Blank-comparison matching-to-sample reveals a false positive symmetry test in a capuchin monkey.

Authors:  Ana Leda de Faria Brino; Rodolfo da Silva Campos; Olavo de Faria Galvão; William Jay McIlvane
Journal:  Psychol Neurosci       Date:  2014-06-01

7.  African grey parrots (Psittacus erithacus) use inference by exclusion to find hidden food.

Authors:  Sandra Mikolasch; Kurt Kotrschal; Christian Schloegl
Journal:  Biol Lett       Date:  2011-06-22       Impact factor: 3.703

8.  Both sheep and goats can solve inferential by exclusion tasks.

Authors:  Josselin Duffrene; Odile Petit; Bernard Thierry; Raymond Nowak; Valérie Dufour
Journal:  Anim Cogn       Date:  2022-08-03       Impact factor: 2.899

9.  What you see is what you get? Exclusion performances in ravens and keas.

Authors:  Christian Schloegl; Anneke Dierks; Gyula K Gajdon; Ludwig Huber; Kurt Kotrschal; Thomas Bugnyar
Journal:  PLoS One       Date:  2009-08-05       Impact factor: 3.240

10.  Utilising dog-computer interactions to provide mental stimulation in dogs especially during ageing.

Authors:  Lisa J Wallis; Friederike Range; Enikő Kubinyi; Durga Chapagain; Jessica Serra; Ludwig Huber
Journal:  ACI 2017 Improv Relat (2017)       Date:  2017
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