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Decision Making with 'Gray Swan' events

  • Air Force Research Laboratory

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

'Gray Swan' has been defined by Nassim Taleb as a rare and highly consequential event that, unlike absolutely unforeseen Black Swan events, can be expected. This paper describes an approach to designing a decision support system, which monitors uncertain and ambiguous dynamic environments characterized by both regular and Gray Swan events. It is capable of producing probable explanations of the situations, identifying asymmetric threats, and acting to prevent catastrophic consequences or mitigate their impact while operating under resource and time constraints. The proposed system incorporates decision makers' attitudes toward risk and uncertainty while considering regular and Gray swan events characterized by uncertain catastrophic outcomes.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE International Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2020
EditorsGalina Rogova, Nicolette McGeorge, Alicia Ruvinsky, Scott Fouse, Mary Freiman
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages12-19
Number of pages8
ISBN (Electronic)9781728160016
DOIs
StatePublished - Aug 2020
Event2020 IEEE International Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2020 - Virtual, Victoria, Canada
Duration: Aug 24 2020Aug 28 2020

Publication series

NameProceedings - 2020 IEEE International Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2020

Conference

Conference2020 IEEE International Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2020
Country/TerritoryCanada
CityVirtual, Victoria
Period08/24/2008/28/20

Keywords

  • argumentation
  • belief-based capacity
  • Choquet utility
  • decision support
  • gray swan events
  • Multiple Quantile Theory
  • threat assessment

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