Adversarial inferencing for generating dynamic adversary behavior

Joshua M. Surman; Robert G. Hillman; Eugene Santos Jr.

doi:10.1117/12.501978

4 September 2003 Adversarial inferencing for generating dynamic adversary behavior

Joshua M. Surman, Robert G. Hillman, Eugene Santos Jr.

Proceedings Volume 5091, Enabling Technologies for Simulation Science VII; (2003) https://doi.org/10.1117/12.501978
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

In the current world environment, the rapidly changing dynamics of organizational adversaries are increasing the difficulty for Military Analysts and Planners to accurately predict potential actions. As an integral part of the planning process, we need to assess our planning strategies against the range of potential adversarial actions. This dynamic world environment has established a necessity to develop tools to assist in establishing hypotheses for future adversary actions. Our research investigated the feasibility to utilize an adversarial tool as the core element within a predictive simulation to establish emergent adversarial behavior. It is our desire to use this intelligent adversary to generate alternative futures in performing Course of Action (COA) analysis. Such a system will allow planners to gauge and evaluate the effectiveness of alternative plans under varying actions and reactions. This research focuses on one of many possible techniques required to address the technical challenge of generating intelligent adversary behaviors. This development activity addresses two research components. First, establish an environment in which to perform the feasibility experiment and analysis. The proof of concept performed to analyze and assess this feasibility of utilizing an adversarial inferencing system to provide emergent adversary behavior is discussed. Second, determine if the appropriate interfaces can be reasonably established to provide integration with an existing force structure simulation framework. The authors also describe the envisioned simulation system and the software development performed to extend the inferencing engine and system interface toward that goal. The experimental results of observing emergent adversary behavior by applying the simulated COAs to the adversary model will be discussed. The research addresses numerous technological challenges in developing the necessary methodologies and tools for a software-based COA analysis framework utilizing intelligent adversarial intent.

Citation Download Citation

Joshua M. Surman, Robert G. Hillman, and Eugene Santos Jr. "Adversarial inferencing for generating dynamic adversary behavior", Proc. SPIE 5091, Enabling Technologies for Simulation Science VII, (4 September 2003); https://doi.org/10.1117/12.501978

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

Includes PDF, HTML & Video, when available