Cited by 14,588Cognitive Computing and NetworksComplexity and Algorithms in GraphsNeural Networks and Applications

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Dynamic Programming

Bellman, Richard E.·2010·Science

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Abstract

Little has been done in the study of these intriguing questions, and I do not wish to give the impression that any extensive set of ideas exists that could be called a "theory." What is quite surprising, as far as the histories of science and philosophy are concerned, is that the major impetus for the fantastic growth of interest in brain processes, both psychological and physiological, has come from a device, a machine, the digital computer. In dealing with a human being and a human society, we enjoy the luxury of being irrational, illogical, inconsistent, and incomplete, and yet of coping. In operating a computer, we must meet the rigorous requirements for detailed instructions and absolute precision. If we understood the ability of the human mind to make effective decisions when confronted by complexity, uncertainty, and irrationality then we could use computers a million times more effectively than we do. Recognition of this fact has been a motivation for the spurt of research in the field of neurophysiology. The more we study the information processing aspects of the mind, the more perplexed and impressed we become. It will be a very long time before we understand these processes sufficiently to reproduce them. In any case, the mathematician sees hundreds and thousands of formidable new problems in dozens of blossoming areas, puzzles galore, and challenges to his heart's content. He may never resolve some of these, but he will never be bored. What more can he ask?

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Authors: Bellman, R. E.
Affiliations: University of Southern California (US)
Corresponding author: Bellman, Richard E.
Venue: Science
Publisher: Princeton University Press
Published: 2010-12-31
Volume: 153
Issue: 3731
Pages: 34-37
ISSN: 0036-8075 (ISSN-L)
DOI: 10.1515/9781400835386
OpenAlex: W2341171179
Cited by: 14,588
References: 0
Citations by year: 2026: 227 · 2025: 367 · 2024: 358 · 2023: 345 · 2022: 332 · 2021: 629 · 2020: 582 · 2019: 575 · 2018: 469 · 2017: 429 · 2016: 440 · 2015: 570 · 2014: 616 · 2013: 615 · 2012: 634
FWCI: 137.95
Type: journal article
Language: en
Open access: closed
Locations: Science (publishedVersion)
Princeton University Press eBooks (publishedVersion)
PubMed (publishedVersion)
Virtual Defense Library (Ministerio de Defensa) (submittedVersion)
CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
International Linear Collider (submittedVersion)
Andalas University Repository (Andalas University) (submittedVersion)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Cognitive Computing and Networks
Physical Sciences › Computer Science › Computational Theory and Mathematics › Complexity and Algorithms in Graphs
Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
Keywords: dynamic programming, optimization, decision-making, human cognition, information processing, brain processes, neurophysiology

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