The Community for Technology Leaders
RSS Icon
Issue No.01 - Jan.-Feb. (2013 vol.28)
pp: 50-56
Paul R. Smart , University of Southampton
Katia P. Sycara , Carnegie Mellon University
Sensemaking is a key capability for military coalitions. It lets both individuals and teams make sense of conflicting, ambiguous, and uncertain information. Computational modeling provides one means of improving our understanding in this area.
Computational modeling, Psychology, Military communication, Intelligent systems, Information management, Military computing, Knowledge management, military coalitions, sensemaking, distributed cognition, social influence, network science, collective sensemaking, team sensemaking
Paul R. Smart, Katia P. Sycara, "Collective Sensemaking and Military Coalitions", IEEE Intelligent Systems, vol.28, no. 1, pp. 50-56, Jan.-Feb. 2013, doi:10.1109/MIS.2012.87
1. G. Klein, S. Wiggins, and C.O. Dominguez, “Team Sensemaking,” Theoretical Issues in Ergonomics Science, vol. 11, no. 4, 2010, pp. 304–320.
2. A Cognitive Approach to Situation Awareness: Theory and Application, S. Banbury and S. Tremblay eds., Ashgate Publishing, 2004.
3. D.S. Alberts, and J.J. Garstka, Net-work Centric Operations Conceptual Framework Version 2.0, US Office of Force Transformation and Office of the Assistant Secretary of Defense for Networks and Information Integration, US Dept. of Defense, 2004.
4. G. Convertino et al., “Collaborative Intelligence Analysis with CACHE: Bias Reduction and Information Coverage,” Human-Computer Interaction Consortium 2006 Winter Workshop on Collaboration, Cooperation, and Coordination, 2006;
5. S. Poteet et al., “Linguistic Sources of Coalition Miscommunication,” Proc. NATO RTO HFM-142 Symp. Adaptability in Coalition Teamwork, NATO Research and Tech. Organization, 2008; .
6. P.R. Smart, “Studying the Impact of Minority Views in a Computational Model of Collective Sensemaking: The Role of Network Structure,” Proc. 4th Int'l Conf. Advanced Cognitive Technologies and Applications (COGNITIVE 12), IARIA, 2012; .
7. T.R. Schultz and M.R. Lepper, “Cognitive Dissonance Reduction as Constraint Satisfaction,” Psychological Rev., vol. 103, no. 2, 1996, pp. 219–240.
8. E. Hutchins, “The Social Organization of Distributed Cognition,” Perspectives on Socially Shared Cognition, L. Resnick et al., eds., Am. Psychological Assoc., 1991, pp. 283–307.
9. W.R. Sieck, L. Rasmussen, and P.R. Smart, “Cultural Network Analysis: A Cognitive Approach to Cultural Modeling,” Network Science for Military Coalition Operations: Information Extraction and Interaction, D. Verma ed., IGI Global, 2010, pp. 237–255.
10. D. Kirsh, “, Interaction, External Representation and Sense Making,” Proc. 31st Ann. Conf. Cognitive Science Society, Cognitive Science Soc., 2009; 2009/papers/259index.html.
11. G. Klein, B. Moon, and R. Hoffman, “Making Sense of Sensemaking 2: A Macrocognitive Model,” IEEE Intelligent Systems, vol. 21, no. 5, 2006, pp. 88–92.
18 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool