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Published on: October 12, 2018
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Irrational risk aversion in an ant
Massimo De Agrò1,2,3,4, Daniel Grimwade5,6, Richard Bach5
1Department of General Psychology, University of Padova, Padova, Italy. massimo.de-agro@ur.de.
Animal Cognition
|May 3, 2021
Summary
Individual ants (Lasius niger) are highly risk-averse, strongly preferring safer food options over risky ones with potentially higher rewards. This individual behavior contrasts with previous colony-level findings and suggests complex decision-making processes in ants.
Area of Science:
- Behavioral Ecology
- Neuroethology
- Decision Science
Background:
- Animals face trade-offs between safe and risky resource acquisition.
- Risk sensitivity theories explain these decisions via perceptual or fitness mechanisms.
- Eusocial insects exhibit unique collective decision-making challenges.
Purpose of the Study:
- To investigate the risk preference of individual ants (Lasius niger).
- To determine if individual ant foraging behavior predicts colony-level risk neutrality.
- To test the hypothesis that ants evaluate resources logarithmically.
Main Methods:
- Individual Lasius niger ants were trained to associate scents with different sucrose solutions.
- A Y-maze paradigm assessed preference between a safe option and a risky option (equal probability of low or high concentration).
- Further experiments manipulated the relative values of safe and risky options to test the Weber-Fechner law's applicability.
Main Results:
- 91% of individual ants exhibited extreme risk aversion, choosing the safe option.
- Results support a logarithmic basis for risk aversion in ants, aligning with the Weber-Fechner law.
- Individual ant foraging behavior was a poor predictor of previously observed colony-level risk neutrality.
Conclusions:
- Individual Lasius niger foragers are strongly risk-averse.
- Ants' risk aversion appears to stem from a logarithmic evaluation of resource value.
- Discrepancies between individual and colony behavior highlight the complexity of collective decision-making in social insects.

