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

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

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 proceeding › Conference contribution

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 language	English (US)
Title of host publication	Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004
Pages	53-60
Number of pages	8
State	Published - 2004
Event	Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004 - Venice, Italy Duration: Jul 21 2004 → Jul 22 2004

Publication series

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

Other

Other	Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004
Country/Territory	Italy
City	Venice
Period	7/21/04 → 7/22/04

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

All Science Journal Classification (ASJC) codes

General Engineering

Cite this

Yen, J., Fan, X., Sun, S., McNeese, M., & Hall, D. (2004). Supporting anti-terrorist analyst teams using agents with shared RPD process. In Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004 (pp. 53-60). (Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004).

Yen, John ; Fan, Xiaocong ; Sun, Shuang et al. / Supporting anti-terrorist analyst teams using agents with shared RPD process. Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004. 2004. pp. 53-60 (Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004).

@inproceedings{d8fef1cb37f544a1aeea1d3e5cda5a06,

title = "Supporting anti-terrorist analyst teams using agents with shared RPD process",

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.",

author = "John Yen and Xiaocong Fan and Shuang Sun and Michael McNeese and David Hall",

year = "2004",

language = "English (US)",

isbn = "0780383818",

series = "Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004",

pages = "53--60",

booktitle = "Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004",

note = "Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004 ; Conference date: 21-07-2004 Through 22-07-2004",

}

Yen, J, Fan, X, Sun, S, McNeese, M & Hall, D 2004, Supporting anti-terrorist analyst teams using agents with shared RPD process. in Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004. Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004, pp. 53-60, Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004, Venice, Italy, 7/21/04.

Supporting anti-terrorist analyst teams using agents with shared RPD process. / Yen, John; Fan, Xiaocong; Sun, Shuang et al.
Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004. 2004. p. 53-60 (Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Supporting anti-terrorist analyst teams using agents with shared RPD process

AU - Yen, John

AU - Fan, Xiaocong

AU - Sun, Shuang

AU - McNeese, Michael

AU - Hall, David

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/13444269606

UR - https://www.scopus.com/pages/publications/13444269606#tab=citedBy

M3 - Conference contribution

AN - SCOPUS:13444269606

SN - 0780383818

SN - 9780780383814

T3 - Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004

SP - 53

EP - 60

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

T2 - Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004

Y2 - 21 July 2004 through 22 July 2004

ER -

Yen J, Fan X, Sun S, McNeese M, Hall D. Supporting anti-terrorist analyst teams using agents with shared RPD process. In Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004. 2004. p. 53-60. (Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, CIHSPS 2004).

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

Abstract

Publication series

Other

UN SDGs

All Science Journal Classification (ASJC) codes

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