Enhancing Emotional-Based Target Prediction

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.

Meeting Name

Modeling and Simulation for Military Operations III (2008: Mar. 19, Orlando, FL)

Department(s)

Computer Science

Second Department

Electrical and Computer Engineering

Keywords and Phrases

Behavioral Inertia; Catastrophic Change; Intelligent Agent; Nonlinear Systems; Steady State; Target Prediction

International Standard Book Number (ISBN)

978-081947156-7

International Standard Serial Number (ISSN)

0277-786X; 1996-756X

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2008 SPIE, All rights reserved.

Publication Date

01 Mar 2008

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