Paper
11 April 2008 Enhancing emotional-based target prediction
Author Affiliations +
Abstract
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael Gosnell and Robert Woodley "Enhancing emotional-based target prediction", Proc. SPIE 6965, Modeling and Simulation for Military Operations III, 696505 (11 April 2008); https://doi.org/10.1117/12.777465
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KEYWORDS
Systems modeling

Target recognition

Detection and tracking algorithms

Data modeling

Sensors

Target acquisition

Motion analysis

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