• DocumentCode
    140705
  • Title

    Ontology building for cognitive bias assessment in intelligence

  • Author

    Lortal, Gaelle ; Capet, Philippe ; Bertone, Alain

  • Author_Institution
    Thales Res. & Technol., Palaiseau, France
  • fYear
    2014
  • fDate
    3-6 March 2014
  • Firstpage
    237
  • Lastpage
    243
  • Abstract
    It is usually considered that mankind creates mental shortcuts, called heuristics, in order to rapidly process information. Since they are bound to human cognition, these cognitive biases are involved in any human mental activity including the intelligence field. Intelligence aims to search for, interpret, select and display information. The RECOBIA project aims to Reduce Cognitive Biases in Intelligence Activity. In this paper, we first present the definition of cognitive biases with respect to intelligence work. Then we present an ontology that models the defined cognitive biases in intelligence. The ontology is used to support cognitive bias assessment to help reduce them in the intelligence domain.
  • Keywords
    behavioural sciences computing; cognition; ontologies (artificial intelligence); RECOBIA project; cognitive bias assessment; heuristics; human cognition; human mental activity; intelligence; intelligence domain; intelligence field; mental shortcuts; ontology building; reduce cognitive biases in intelligence activity; Conferences; Context; Decision making; Information processing; Ontologies; Psychology; Risk management; Cognitive Bias; Cognitive Science; Decision Making; Intelligence; Knowledge Engineering; Ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2014 IEEE International Inter-Disciplinary Conference on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    978-1-4799-3563-5
  • Type

    conf

  • DOI
    10.1109/CogSIMA.2014.6816616
  • Filename
    6816616