Unveiling the Lady in Black: Modeling and aiding intuition
Details
Download: Hoffrage-Marewski_Lady-in-Black_JARMAC2015.pdf (981.39 [Ko])
State: Public
Version: Final published version
License: CC BY-NC-ND 4.0
State: Public
Version: Final published version
License: CC BY-NC-ND 4.0
Serval ID
serval:BIB_DE5211B50852
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Unveiling the Lady in Black: Modeling and aiding intuition
Journal
Journal of Applied Research in Memory and Cognition
ISSN
2211-3681
Publication state
Published
Issued date
09/2015
Peer-reviewed
Oui
Volume
4
Number
3
Pages
145-163
Language
english
Abstract
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.
Keywords
Intuition, Rationality, Analysis, Dual processes, Cognitive architecture, Subjectivity, Expertise
Web of science
Open Access
Yes
Create date
30/10/2015 18:18
Last modification date
03/10/2019 7:08