Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2019, Issue 1, Pages 3–15
DOI: https://doi.org/10.14357/20718594190101
(Mi iipr157)
 

This article is cited in 4 scientific papers (total in 4 papers)

Decision analysis

Bounded rationality and decision making

O. P. Kuznetsov

V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia
Full-text PDF (465 kB) Citations (4)
Abstract: This paper considers the theory of bounded rationality, also known as behavioral economics developed by D.Kahneman, A.Tversky, R.Thaler and K.Stanovich. This theory demonstrates that human beings often act nonrationally not only due to objective reasons, such as the necessity of decision making under uncertainty and constraints on memory, but also due to inability to make use of their own intellectual tools. This is explained by how fast and slow types of cognitive processes interact. The fast system (System 1) is implemented with minimal control of consciousness and the slow system (System 2) involves consciousness and cognitive efforts. System 1 is working constantly and is making routine decisions while System 2 is involved in non-standard situations. However, System 2 minimizes efforts and does not always fully use its reasoning and estimating abilities due to “cognitive miserliness”. The role of emotions in decision making as a concept introduced by the prominent neurobiologist A. Damasio contributes largely to this theory.
Keywords: bounded rationality, decision making, behavioral economics, fast and slow cognitive processes, prospect theory, framing.
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: O. P. Kuznetsov, “Bounded rationality and decision making”, Artificial Intelligence and Decision Making, 2019, no. 1, 3–15
Citation in format AMSBIB
\Bibitem{Kuz19}
\by O.~P.~Kuznetsov
\paper Bounded rationality and decision making
\jour Artificial Intelligence and Decision Making
\yr 2019
\issue 1
\pages 3--15
\mathnet{http://mi.mathnet.ru/iipr157}
\crossref{https://doi.org/10.14357/20718594190101}
\elib{https://elibrary.ru/item.asp?id=37179698}
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  • https://www.mathnet.ru/eng/iipr/y2019/i1/p3
  • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Artificial Intelligence and Decision Making
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    Abstract page:28
    Full-text PDF :6
    References:1
     
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