Cognitive operations: models that open the black box and predict our decisions
Cognitive operations: models that open the black box and predict our decisions
This book examines how people make decisions under risk and uncertainty in operational settings, and opens the black box by specifying the cognitive processes that lead to human behavior. Drawing on economics, psychology and artificial intelligence, the book provides an innovative perspective on behavioral operations: It shows how to build optimization as well as heuristic models for describing human behavior and how to compare such models on various dimensions such as predictive power and transparency, and also discusses interventions for improving human behavior. The book will be particularly valuable to academics and practitioners who seek to select a modeling approach that suits the operational decision at hand.
Katsikopoulos, Konstantinos V.
b97c23d9-8b24-4225-8da4-be7ac2a14fba
5 July 2023
Katsikopoulos, Konstantinos V.
b97c23d9-8b24-4225-8da4-be7ac2a14fba
Katsikopoulos, Konstantinos V.
(2023)
Cognitive operations: models that open the black box and predict our decisions
,
1st ed.
Palgrave Macmillan, 235pp.
Abstract
This book examines how people make decisions under risk and uncertainty in operational settings, and opens the black box by specifying the cognitive processes that lead to human behavior. Drawing on economics, psychology and artificial intelligence, the book provides an innovative perspective on behavioral operations: It shows how to build optimization as well as heuristic models for describing human behavior and how to compare such models on various dimensions such as predictive power and transparency, and also discusses interventions for improving human behavior. The book will be particularly valuable to academics and practitioners who seek to select a modeling approach that suits the operational decision at hand.
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Accepted/In Press date: June 2023
Published date: 5 July 2023
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Local EPrints ID: 478696
URI: http://eprints.soton.ac.uk/id/eprint/478696
PURE UUID: 7e2323f8-0613-4a67-a62f-befc116ecfb6
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Date deposited: 07 Jul 2023 16:37
Last modified: 17 Mar 2024 03:44
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