One-shot decision theory: A fundamental alternative for decision under uncertainty

    • 4 Citations

    Abstract

    The attempts of this paper are as follows: clarifying the fundamental differences between the one-shot decision theory which was initially proposed in the paper [16] and other decision theories under uncertainty to highlight that the one-shot decision theory is a scenario-based decision theory instead of a lottery-based one; pointing out the instinct problems in other decision theories to show that the one-shot decision theory is necessary to solve one-shot decision problems; manifesting the relation between the one-shot decision theory and the probabilistic decision methods. As regret is a common psychological experience in one-shot decision making, we propose the one-shot decision methods with regret in this paper. © 2014 Springer-Verlag Berlin Heidelberg.

    Original languageEnglish
    Title of host publicationStudies in Computational Intelligence
    PublisherSpringer Verlag
    Pages33-55
    Number of pages23
    Volume502
    ISBN (Print)9783642393068
    DOIs
    StatePublished - 2014

    Publication series

    NameStudies in Computational Intelligence
    Volume502
    ISSN (Print)1860949X

    Fingerprint

    Decision theory
    Decision making

    Keywords

    • Behavioral operations research
    • Decision making
    • Human-centric decision-making
    • One-shot decision
    • Regret
    • Regret focus points
    • Scenario-based decision theory

    ASJC Scopus subject areas

    • Artificial Intelligence

    Cite this

    Guo, P. (2014). One-shot decision theory: A fundamental alternative for decision under uncertainty. In Studies in Computational Intelligence. (Vol. 502, pp. 33-55). (Studies in Computational Intelligence; Vol. 502). Springer Verlag. DOI: 10.1007/978-3-642-39307-5_2

    One-shot decision theory : A fundamental alternative for decision under uncertainty. / Guo, Peijun.

    Studies in Computational Intelligence. Vol. 502 Springer Verlag, 2014. p. 33-55 (Studies in Computational Intelligence; Vol. 502).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Guo, P 2014, One-shot decision theory: A fundamental alternative for decision under uncertainty. in Studies in Computational Intelligence. vol. 502, Studies in Computational Intelligence, vol. 502, Springer Verlag, pp. 33-55. DOI: 10.1007/978-3-642-39307-5_2
    Guo P. One-shot decision theory: A fundamental alternative for decision under uncertainty. In Studies in Computational Intelligence. Vol. 502. Springer Verlag. 2014. p. 33-55. (Studies in Computational Intelligence). Available from, DOI: 10.1007/978-3-642-39307-5_2

    Guo, Peijun / One-shot decision theory : A fundamental alternative for decision under uncertainty.

    Studies in Computational Intelligence. Vol. 502 Springer Verlag, 2014. p. 33-55 (Studies in Computational Intelligence; Vol. 502).

    Research output: Chapter in Book/Report/Conference proceedingChapter

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