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Andreas Wilke

Researcher at Clarkson University

Publications -  45
Citations -  1793

Andreas Wilke is an academic researcher from Clarkson University. The author has contributed to research in topics: Foraging & Cognition. The author has an hindex of 18, co-authored 42 publications receiving 1644 citations. Previous affiliations of Andreas Wilke include Max Planck Society & Konrad Lorenz Institute for Evolution and Cognition Research.

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Domain Specificity in Experimental Measures and Participant Recruitment An Application to Risk-Taking Behavior

TL;DR: The research shows that individuals who exhibit high levels of risk-taking behavior in one content area can exhibit moderate levels in other risky domains, and the results indicate that risk taking among targeted subsamples can be explained within a cost-benefit framework and is largely mediated by the perceived benefit of the activity, and to a lesser extentBy the perceived risk.
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Life history variables and risk-taking propensity

TL;DR: This paper examined the effects of life-history variables on risk-taking propensity, measured by subjective likelihoods of engaging in risky behaviors in five evolutionarily valid domains of risk, including between group competition, within-group competition, environmental challenge, mating and resource allocation, and fertility and reproduction.
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Adaptive rationality: An evolutionary perspective on cognitive bias

TL;DR: The authors presented a taxonomy of evidence of bias in social cognition, including heuristics, error management effects, or experimental artifacts, and concluded that much of the research on cognitive biases can be profitably reframed and understood in evolutionary terms.
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Beyond a Trait View of Risk Taking: A Domain-Specific Scale Measuring Risk Perceptions, Expected Benefits, and Perceived-Risk Attitudes in German-Speaking Populations

TL;DR: In this article, a German language scale assessing tendencies to engage in risky behaviors, as well as perceptions of risks and expected benefits from such behaviors, is derived from an English version and validated on 532 German participants.
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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?