A theory of associating food types with their postingestive consequences

Yearsley, Jonathan M., Villalba, Juan J., Gordon, Iain J., Kyriazakis, Ilias, Speakman, John R., Tolkamp, Bert J., Illius, Andrew W., and Duncan, Alan J. (2006) A theory of associating food types with their postingestive consequences. American Naturalist, 167 (5). pp. 705-716.

[img]
Preview
PDF (Published Version) - Published Version
Download (209kB) | Preview
View at Publisher Website: http://dx.doi.org/10.1086/502805
 
40
119


Abstract

Animals often face complex and changing food environments. While such environments are challenging, an animal should make an association between a food type and its properties (such as the presence of a nutrient or toxin). We use information theory concepts, such as mutual information, to establish a theory for the development of these associations. In this theory, associations are assumed to maximize the mutual information between foods and their consequences. We show that associations are invariably imperfect. An association's accuracy increases with the length of a feeding session and the relative frequency of a food type but decreases as time delay between consumption and postingestive consequence increases. Surprisingly, the accuracy of an association is independent of the number of additional food types in the environment. The rate of information transfer between novel foods and a forager depends on the forager's diet. In light of this theory, an animal’s diet may have two competing goals: first, the provision of an appropriate balance of nutrients, and second, the ability to quickly and accurately learn the properties of novel foods. We discuss the ecological and behavioral implications of making associational errors and contrast the timescale and mechanisms of our theory with those of existing theory.

Item ID: 42551
Item Type: Article (Research - C1)
ISSN: 1537-5323
Keywords: diet selection, postingestive feedback, mutual information
Funders: Scottish Executive Environment and Rural Affairs Department (SEERAD), CSIRO
Projects and Grants: Fitness Function of Energy Intake
Date Deposited: 10 Feb 2016 07:43
FoR Codes: 06 BIOLOGICAL SCIENCES > 0606 Physiology > 060699 Physiology not elsewhere classified @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970106 Expanding Knowledge in the Biological Sciences @ 100%
Downloads: Total: 119
Last 12 Months: 18
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page