A Cognitive Architecture for Adversary Intent Inferencing: Structure of Knowledge and Computation

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.