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
Link To Document :
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