@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",
}