Constructing adversarial models for threat/enemy intent prediction and inferencing
Eugene Santos, Allesandro Negri · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2004
We examine an adversary model that captures goals, intentions, biases, beliefs, and perceptions based on a dynamic cognitive architecture that evolves over time. The model manages the uncertainty surrounding the adversary using probabilistic networks. In particular, we consider the challenges of constructing such adversaries and provide solutions towards more effective and efficient engineering of such adversaries. We present the AII Template Generator tool which enables the rapid deployment of adversary models as well as on-demand construction of new adversary components.