A cognitive architecture for adversary intent inferencing: structure of knowledge and computation

Eugene Santos Jr.

doi:10.1117/12.500905

4 September 2003 A cognitive architecture for adversary intent inferencing: structure of knowledge and computation

Eugene Santos Jr.

Proceedings Volume 5091, Enabling Technologies for Simulation Science VII; (2003) https://doi.org/10.1117/12.500905
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

Existing target-based and objectives-based (“strategy-to-task”) approaches to mission planning do not explicitly address the adversary’s decision-making processes. Obviously, the adversary’s courses of action (COA) are influenced in a cause-and-effect manner by actions taken by friendly forces. Given the iterative/interleaved nature of actions taken by enemy and friendly forces, mission planning must clearly take adversarial decision making into account especially during concurrent mission planning and execution. Currently, adversarial behaviour with regards to cause-and-effect are difficult to account for within the framework of existing planning approaches. This paper describes a cognitive architecture for computationally modeling, predicting, and explaining adversarial behaviors and COAs and proposes an integrated framework for mission planning. Our framework fits naturally within the Effects-Based Operations (EBO) approach to mission planning.

Citation Download Citation

Eugene Santos Jr. "A cognitive architecture for adversary intent inferencing: structure of knowledge and computation", Proc. SPIE 5091, Enabling Technologies for Simulation Science VII, (4 September 2003); https://doi.org/10.1117/12.500905

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