Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Schelling Traps as Drivers of Intelligence Failure

Bibliographic Data

ID20185268
AuthorsRalf Lillbacka (corresponding author)
Year2022
Volume35
Issue1
Pages101-130
Publication date2022-01-02
Open AccessNo
TypeARTICLE
VenueInternational Journal of Intelligence and CounterIntelligence (JOURNAL)
Journal identifiersISSN: 0885-0607 • E-ISSN: 1521-0561
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/08850607.2020.1870032
OpenAlexW3156962205
LanguageEN
Citations received2

A model suggests that Schelling salience through social traplike processes can generate dysfunctional organizational mindsets that increase the likelihood of intelligence failure. Schelling salience refers to how certain aspects can spontaneously and tacitly become collectively cognitively prominent, and thus, coordinate behavior. Short-term benefits of a predominant mindset may generate long-term biases in analysis, collection, and decisionmakers’ responsiveness. Strong mindsets do not inevitably generate intelligence failures. However, a particular organizational state, referred to as a “pleasant attractor,” where sustained strategies produce satisficing outcomes and alternative strategies are more uncertain and/or costly, is conducive to biased mindsets causing intelligence failures. Findings from an examination of nineteen historical cases of intelligence failures and successes, with an emphasis on four sequences of cases with an initial intelligence failure, supported the model

Cognitive psychology · Computer security · Dysfunctional family · Intelligence analysis · Military intelligence · Mindset · Political science · Satisficing · Competitive and Knowledge Intelligence · Computer Science · Psychology · Social Psychology · Artificial Intelligence

  • Cognitive biases in military intelligence analysis

    Open Access•Yupeng Huo, litongxing yu et al.•BMC Psychology•2026

  • A new theory of surprise – unraveling the logic of uncertainty and knowledge

    Giangiuseppe Pili•Intelligence & National Security•2024

Citations per year1
Citation span2024 - 2026 (3)
Highly citedNo

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae