Basics of Possibilistic PSYOPS for Decoy/Countermeasure Methods

Authors:
Dr. James A. Crowder, Systems Fellow, Colorado Engineering Inc.

Abstract:
Situational/threat assessment strategies have been studied for generations. Typically, these threat assessments utilize Bayesian belief networks and inference engines, based on decision tree technologies, to determine the likelihood of different deployment strategies and prevention methods (psyops). These are typically represented as a directed “acyclic” graph and utilize joint probability distributions, which are typically based on incomplete information as to the probabilities involved in various aspects of the current mission parameters.

Full access to this whitepaper requires submitting the form on the following page. Click the link below to continue.

Basics of Possibilistic PSYOPS for Decoy/Countermeasure Methods (1 download)

Categories: ,