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Insights from quantum cognitive models for organizational decision making

White, L.C., Pothos, E. M. & Busemeyer, J. R. (2015). Insights from quantum cognitive models for organizational decision making. Journal of Applied Research in Memory and Cognition, 4(3), pp. 229-238. doi: 10.1016/j.jarmac.2014.11.002


Organizational decision making is often explored with theories from the heuristics and biases research program, which have demonstrated great value as descriptions of how people in organizations make decisions. Nevertheless, rational analysis and classical probability theory are still seen by many as the best accounts of how decisions should be made and classical probability theory is the preferred framework for cognitive modelling for many researchers. The focus of this work is quantum probability theory, an alternative probabilistic framework. Results in decision making, which appear paradoxical from a perspective of classical probability theory, may make perfect sense if one adopts quantum probability theory. We review some cognitive models of decision making based on quantum probability theory. Each of these models is based on a challenge to prescription from classical probability theory. The transition from labeling a particular behavior as irrational, by classical probability standards, to (potentially) rational (or, at any rate, not fallacious), raises interesting possibilities, including that of characterizing certain heuristics in formal, probabilistic terms.

Publication Type: Article
Additional Information: Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Publisher Keywords: classical probability theory; quantum probability theory; decision making; conjunction effect; interference effects
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Departments: School of Health & Psychological Sciences > Psychology
Text - Published Version
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