TY - GEN
T1 - Knowing the Enemy, Dealing with Deception, and Situation/Threat Estimation
AU - Llinas, James
AU - Sentz, Kari
N1 - Publisher Copyright: © 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The foundational principles of warfare have always required a combatant to “know the enemy and know yourself”, and to consider the likelihood that methods of deception will be employed on both sides. Further, the need to estimate adversarial situations, threats, and intentions imputes a need for forecasting these states to future times to be relevant to decision-making. These combined requirements lead to a very challenging context for the design, development, and evaluation of multisensor information fusion processes and systems. This paper reviews the nature of these requirements, points out that there is a wide range of related research across varied communities on these topics, and that there is relatively little work in the situation management and information fusion communities currently addressing these challenges. This paper is a call for new and more directly applicable research involving multidisciplinary efforts to advance Level 3 situation and threat estimation capabilities with human and sensor-based fusion systems that is essential for comprehensive situational awareness and assessment in adversarial environments.
AB - The foundational principles of warfare have always required a combatant to “know the enemy and know yourself”, and to consider the likelihood that methods of deception will be employed on both sides. Further, the need to estimate adversarial situations, threats, and intentions imputes a need for forecasting these states to future times to be relevant to decision-making. These combined requirements lead to a very challenging context for the design, development, and evaluation of multisensor information fusion processes and systems. This paper reviews the nature of these requirements, points out that there is a wide range of related research across varied communities on these topics, and that there is relatively little work in the situation management and information fusion communities currently addressing these challenges. This paper is a call for new and more directly applicable research involving multidisciplinary efforts to advance Level 3 situation and threat estimation capabilities with human and sensor-based fusion systems that is essential for comprehensive situational awareness and assessment in adversarial environments.
UR - https://www.scopus.com/pages/publications/85196717112
U2 - 10.1109/CogSIMA61085.2024.10554049
DO - 10.1109/CogSIMA61085.2024.10554049
M3 - Conference contribution
T3 - 2024 IEEE Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2024
SP - 31
EP - 38
BT - 2024 IEEE Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2024
Y2 - 7 May 2024 through 10 May 2024
ER -