Dynamic Decision Making

Jared M. Hotaling; Pegah Fakhari; Jerome R. Busemeyer

doi:10.1016/B978-0-08-097086-8.43040-0

Dynamic Decision Making

Jared M. Hotaling, Pegah Fakhari, Jerome R. Busemeyer

Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia/dictionary

Abstract

This section reviews a specialty within the field of decision making known as dynamic decision making. Dynamic decisions are characterized by a decision maker choosing among various actions at different points in time in order to control and optimize performance of a dynamic stochastic system. Realistic examples include fighting fires, navigational control, battlefield decisions, medical emergencies, and so on. The section has four parts. The first reviews basic theory concerning optimal decision principles in a dynamic context, the second summarizes empirical approaches to the study of human performance on dynamic decision tasks, the third presents theoretical models that describe how humans learn to control dynamic systems, and the last discusses methodological issues arising from the study of complex decisions including differences between field versus laboratory research.

Original language	English (US)
Title of host publication	International Encyclopedia of the Social & Behavioral Sciences
Editors	James D Wright
Publisher	Elsevier Inc.
Pages	708-713
Number of pages	6
Edition	2
ISBN (Electronic)	9780080970875
ISBN (Print)	9780080970868
DOIs	https://doi.org/10.1016/B978-0-08-097086-8.43040-0
State	Published - Mar 26 2015
Externally published	Yes

Keywords

Control theory
Dynamic decision making
Dynamic systems
Learning
Problem solving

ASJC Scopus subject areas

Social Sciences(all)

Online availability

10.1016/B978-0-08-097086-8.43040-0

Library availability

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AB - This section reviews a specialty within the field of decision making known as dynamic decision making. Dynamic decisions are characterized by a decision maker choosing among various actions at different points in time in order to control and optimize performance of a dynamic stochastic system. Realistic examples include fighting fires, navigational control, battlefield decisions, medical emergencies, and so on. The section has four parts. The first reviews basic theory concerning optimal decision principles in a dynamic context, the second summarizes empirical approaches to the study of human performance on dynamic decision tasks, the third presents theoretical models that describe how humans learn to control dynamic systems, and the last discusses methodological issues arising from the study of complex decisions including differences between field versus laboratory research.

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KW - Dynamic systems

KW - Learning

KW - Problem solving

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Dynamic Decision Making

Abstract

Keywords

ASJC Scopus subject areas

Online availability

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