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John M. C. Hutchinson

Researcher at American Museum of Natural History

Publications -  52
Citations -  2254

John M. C. Hutchinson is an academic researcher from American Museum of Natural History. The author has contributed to research in topics: Arion & Population. The author has an hindex of 20, co-authored 51 publications receiving 2090 citations. Previous affiliations of John M. C. Hutchinson include University of Bristol & Max Planck Society.

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General results concerning the trade-off between gaining energy and avoiding predation

TL;DR: In this article, the optimal trade-off between food and predation was investigated in a single-antenna setting, where an animal must reach a fixed state, its fitness depending on when this is attained, and the animal must survive to a fixed time.
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Simple heuristics and rules of thumb: Where psychologists and behavioural biologists might meet

TL;DR: This paper explains the hypothesisation that much human decision-making can be described by simple algorithmic process models (heuristics), and relates it to research in biology on rules of thumb, which is reviewed.
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Use, misuse and extensions of “ideal gas” models of animal encounter

TL;DR: Applications of the ideal gas model are reviewed, extensions of the model are derived to cover some more realistic movement patterns, several errors that have arisen in the literature are correct, and confidence limits are shown for expected rates of encounter among independently moving individuals.
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Is more choice always desirable? Evidence and arguments from leks, food selection, and environmental enrichment.

TL;DR: General adaptive and non‐adaptive explanations of why choice aversion might occur in animals are considered and previously unrecognised parallels with models of human shopping behaviour are drawn.
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Patch leaving in humans: can a generalist adapt its rules to dispersal of items across patches?

TL;DR: The authors used a computer game to examine three aspects of patch-leaving decisions in humans: how well humans perform compared to the optimal policy, can they adjust their behaviour adaptively in response to different distributions of prey across patches and on what cues are their decisions based?