Fish can infer social rank by observation alone
Logan Grosenick (),
Tricia S. Clement and
Russell D. Fernald
Additional contact information
Logan Grosenick: Stanford University
Tricia S. Clement: Stanford University
Russell D. Fernald: Stanford University
Nature, 2007, vol. 445, issue 7126, 429-432
Abstract:
Steering clear of trouble Fish are not famous for being smart, yet they can be added to the list of animals that show the rudiments of logical thinking. Transitive inference, the ability to deduce unknown relationships from knowledge of known relationships, is essential to logical reasoning. This ability is seen as an important step in a child's development, and similar capabilities are found in nonhuman primates, rats and birds. Astatotilapia burtoni, a territorial fish in which reproductive success of males depends on their status in 'fish society', can learn an implied hierarchy among other unfamiliar fish by watching fights between them. Remarkably, fish do this indirectly, as 'bystanders', with no direct reinforcement. This behaviour calls into question previous models of transitive inference and suggests that these fish have evolved distinct mechanisms for making inferences in situations specific to their survival and reproduction. The cover image shows an A. burtoni male.
Date: 2007
References: Add references at CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
https://www.nature.com/articles/nature05511 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:445:y:2007:i:7126:d:10.1038_nature05511
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/nature05511
Access Statistics for this article
Nature is currently edited by Magdalena Skipper
More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().