The DOI matches its Crossref record; 58 of the 59 references it cites were found in a registry or an index.
Animal Choice Behavior and the Evolution of Cognitive Architecture
Abstract
Animals process sensory information according to specific computational rules and, subsequently, form representations of their environments that form the basis for decisions and choices. The specific computational rules used by organisms will often be evolutionarily adaptive by generating higher probabilities of survival, reproduction, and resource acquisition. Experiments with enclosed colonies of bumblebees constrained to foraging on artificial flowers suggest that the bumblebee's cognitive architecture is designed to efficiently exploit floral resources from spatially structured environments given limits on memory and the neuronal processing of information. A non-linear relationship between the biomechanics of nectar extraction and rates of net energetic gain by individual bees may account for sensitivities to both the arithmetic mean and variance in reward distributions in flowers. Heuristic rules that lead to efficient resource exploitation may also lead to subjective misperception of likelihoods. Subjective probability formation may then be viewed as a problem in pattern recognition subject to specific sampling schemes and memory constraints.
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“Selection among a set of possible actions is a form of choice that can occur quickly, when speed is at a premium.”
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Metadata
- Authors
- Real, L. A.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- Corresponding author
- Real, Leslie A.
- Venue
- Science
- Published
- 1991-08-30
- Volume
- 253
- Issue
- 5023
- Pages
- 980-986
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1973981488
- Cited by
- 377
- References
- 59
- Citations by year
- 2026: 4 · 2025: 21 · 2024: 9 · 2023: 5 · 2022: 4 · 2021: 6 · 2020: 8 · 2019: 9 · 2018: 5 · 2017: 8 · 2016: 7 · 2015: 10 · 2014: 14 · 2013: 9 · 2012: 6
- FWCI
- 5.87
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Insect Science › Insect and Arachnid Ecology and Behavior
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Plant and animal studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurobiology and Insect Physiology Research
- Keywords
- bumblebees, foraging behavior, cognitive architecture, animal decision-making, reward allocation, heuristic rules, subjective probability, memory constraints, pattern recognition, artificial flowers
- MeSH terms
- Animals, Bees, Biomechanical Phenomena, Choice Behavior, Cognition, Biological Evolution, Mathematics, Models, Genetic, Probability
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