Supporting anti-terrorist analyst teams using agents with shared RPD process

John Yen, Xiaocong Fan, Shuang Sun, Michael McNeese, David Hall

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Anti-terrorist analysts often need to work in teams with the requirement to analyze voluminous amounts of dynamic information in order to assess potential terrorist threats. Analysts have a high cognitive demand complicated by factors that typically the information has restrict access and requires special expertise for interpretation. The goal of this research is to enhance team performance by modeling and implementing a cognitive agent architecture capable of proactively seeking, linking and sharing information using knowledge and experience distributed among team members. The agent architecture is empowered by a Collaborative RPD model - a novel team-based naturalistic decision making process derived from Klein's Recognition-Primed Decision framework.

Original languageEnglish (US)
Title of host publicationProceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004
Pages53-60
Number of pages8
StatePublished - Dec 1 2004
EventProceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004 - Venice, Italy
Duration: Jul 21 2004Jul 22 2004

Publication series

NameProceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004

Other

OtherProceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004
CountryItaly
CityVenice
Period7/21/047/22/04

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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