Enhancing Emotional-Based Target Prediction
This work extends existing agent-based target movement prediction to include key ideas of behavioral inertia, steady states, and catastrophic change from existing psychological, sociological, and mathematical work. Existing target prediction work inherently assumes a single steady state for target behavior, and attempts to classify behavior based on a single emotional state set. The enhanced, emotional-based target prediction maintains up to three distinct steady states, or typical behaviors, based on a target's operating conditions and observed behaviors. Each steady state has an associated behavioral inertia, similar to the standard deviation of behaviors within that state. The enhanced prediction framework also allows steady state transitions through catastrophic change and individual steady states could be used in an offline analysis with additional modeling efforts to better predict anticipated target reactions.
M. R. Gosnell and R. S. Woodley, "Enhancing Emotional-Based Target Prediction," Proceedings of SPIE - The International Society for Optical Engineering, vol. 6965, SPIE, Mar 2008.
The definitive version is available at https://doi.org/10.1117/12.777465
Modeling and Simulation for Military Operations III (2008: Mar. 19, Orlando, FL)
Electrical and Computer Engineering
Keywords and Phrases
Behavioral Inertia; Catastrophic Change; Intelligent Agent; Nonlinear Systems; Steady State; Target Prediction
International Standard Book Number (ISBN)
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 2008 SPIE, All rights reserved.