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info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jarmac.2015.08.001
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info:eu-repo/semantics/altIdentifier/pissn/2211-3681
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info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_DE5211B508529
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U. Hoffrage et al., « Unveiling the Lady in Black: Modeling and aiding intuition », Serveur académique Lausannois, ID : 10.1016/j.jarmac.2015.08.001
The cognitive and decision science literature on modeling and aiding intuitions in organizations is rich, but segregated. This special issue offers a sample of that literature, stimulating exchange and inspiring intuitions about intuition. A total of 16 articles bring together diverse approaches, such as naturalistic-decision-making, heuristics-and-biases, dual-processes, ACT-R, CLARION, Brunswikian, and Quantum-Probability-Theory, many of them co-authored by their founders. The articles cover computational models and verbal theories; experimental and observational work; laboratory and naturalistic research. Comprising various domains, such as consulting, investment, law, police, and morality, the articles relate intuition to implicit cognition, emotions, scope insensitivity, expertise, and representative experimental design. In this article, we map intuition across poles such as Enlightenment/Romanticism, reason/emotion, objectivity/subjectivity, inferences/qualia, Taylorism/universal scholarship, System 2/System 1, dichotomies/dialectics, and science/art. We discuss intuitions as inspirations, instincts, inferences, and insights. Finally, we review the contributions to this special issue, placing them into historical, philosophical, and societal contexts.