ReviewFrontiers in psychology2018
The Drivers of Heuristic Optimization in Insect Object Manufacture and Use.
Review in Frontiers in psychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Speed-accuracy trade-off in egg recognition underlies seasonal acceptance of parasitic egg-mimicking fungi in termite colonies.Die Naturwissenschaften · 2026Article
- Ants resort to heuristics when facing relational-learning tasks they cannot solve.Proceedings. Biological sciences · 2020Article
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Authors and funding
2 authors.
Funding
Abstract
Insects have small brains and heuristics or 'rules of thumb' are proposed here to be a good model for how insects optimize the objects they make and use. Generally, heuristics are thought to increase the speed of decision making by reducing the computational resources needed for making decisions. By corollary, heuristic decisions are also deemed to impose a compromise in decision accuracy. Using examples from object optimization behavior in insects, we will argue that heuristics do not inevitably imply a lower computational burden or lower decision accuracy. We also show that heuristic optimization may be driven by certain features of the optimization problem itself: the properties of the object being optimized, the biology of the insect, and the properties of the function being optimized. We also delineate the structural conditions under which heuristic optimization may achieve accuracy equivalent to or better than more fine-grained and onerous optimization methods.
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Registered trials
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