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2021 | OriginalPaper | Chapter

Self-regulation Approach for Setting Goals in Problem-Solving

Authors : Alexander M. Yemelyanov, Inna S. Bedny

Published in: Advances in Neuroergonomics and Cognitive Engineering

Publisher: Springer International Publishing

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Abstract

In the self-regulation model of decision-making under uncertainty, the dynamic programming principle of optimality transforms into the principle of instrumental rationality, according to which the proximate goal should be reached from the perspective of attaining the distal goal. The solution of the problem is considered to be a result of multiple iterations in evaluating an alternative’s pros and cons from the perspective of the distal (long-term) goal. This paper demonstrates how the self-regulation approach for setting and resetting goals when making difficult decisions helps differentiate the alternatives and find the most suitable course of action by recognizing cons in proximal positive outcomes and pros in proximal negative outcomes, or by changing the new distal goal, which should be more long-term than the previous one.

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Metadata
Title
Self-regulation Approach for Setting Goals in Problem-Solving
Authors
Alexander M. Yemelyanov
Inna S. Bedny
Copyright Year
2021
Book
Advances in Neuroergonomics and Cognitive Engineering

Print ISBN: 978-3-030-80284-4

Electronic ISBN: 978-3-030-80285-1

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-80285-1_24