An adversary prediction environment based on DSAP capabilities

Maria Valinski; Noel Mia; Robert McGraw

doi:10.1117/12.721737

10 May 2007 An adversary prediction environment based on DSAP capabilities

Maria Valinski, Noel Mia, Robert McGraw

Author Affiliations +

Proceedings Volume 6564, Modeling and Simulation for Military Operations II; 656409 (2007) https://doi.org/10.1117/12.721737
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

There is a key for anticipatory tools and techniques to assist command staff in Intelligently Preparing the Battlespace by predicting and assessing adversary and neutral courses-of-action in a manner that enable the rapid diffusion of undesirable military or socio-political situations. This paper discusses the development of an Adversary Prediction Environment (APE) that will provide this capability by leveraging soft computing techniques and grid computing resources to provide an environment that allows for rapid exploration and analysis of enemy COAs for a given set of scenarios. The APE accomplishes these capabilities by utilizing prediction capabilities present in our DSAP (Dynamic Situation Awareness and Predictive (DSAP) environment to apply operationally focused simulation through Joint SemiAutomated Forces (JSAF) to evaluate plan effectiveness. The paper discusses our efforts to identify prospective scenarios and define a library of basic adversary and neutral force plans, actions, and adversary objectives that can be used to model adversary behavior for the identified scenario. The paper also covers our efforts to modify DSAP in support of an APE proof-of-concept that can be used to simulate and rank adversary plans.

Citation Download Citation

Maria Valinski, Noel Mia, and Robert McGraw "An adversary prediction environment based on DSAP capabilities", Proc. SPIE 6564, Modeling and Simulation for Military Operations II, 656409 (10 May 2007); https://doi.org/10.1117/12.721737

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE