(Before It's News)
A highly social species of ant can communicate information about numbers to colony members and also perform simple arithmetic operations.
The new research is reported in an article by Dr. Zhanna Rezhikva and Dr. Boris Ryabko soon to be published in the journal Behaviour.
Meat Ant
Photo: Wikipedia
Researchers surveyed a variety of experimental paradigms for studying animal abilities to count, to understand numerical information and to perform simple arithmetic operations. There is a huge body of evidence that different forms and elements of quantitative judgement and numerical competence are spread across a wide range of species, both vertebrate and invertebrate.
Researchers paid particular attention to the display of numerical competence in ants. The reason is that most of the existing experimental schemes for studying numerical processing in animals, although often elegant, are restricted by studying subjects at the individual level, or by the use of artificial communicative systems.
In contrast, the information-theoretic approach that was elaborated for studying number-related skills in ants employs their own communicative means, and thus does not require the subjects to solve any artificial learning problems, such as learning intermediary languages, or even learning to solve multiple choice problems.
Using this approach, it was discovered that members of highly social ant species possessed numerical competence. They were shown to be able to pass information about numbers and to perform simple arithmetic operations with small numbers. We suggest that applying ideas of information theory and using the natural communication systems of highly social animals can open new horizons in studying numerical cognition.
Citation: Article title: Numerical competence in animals, with an insight from ants
Authors: Dr. Zhanna Rezhikova from the Institute of Systematic and Ecology of Animals of the Siberian Branch of the Russian Academy of Science, as well as Novosibirsk State University and Dr. Boris Ryabko of the Siberian State University of Telecommunication and Computer Science.
Advanced online publication on 5 April, DOI: 10.1163/000579511X568562
Full text available at: http://brill.publisher.ingentaconnect.com/content/brill/beh/pre-prints/beh2917



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