Paper
13 August 2004 Constructing adversarial models for threat/enemy intent prediction and inferencing
Eugene Santos Jr., Allesandro Negri
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Abstract
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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eugene Santos Jr. and Allesandro Negri "Constructing adversarial models for threat/enemy intent prediction and inferencing", Proc. SPIE 5423, Enabling Technologies for Simulation Science VIII, (13 August 2004); https://doi.org/10.1117/12.546771
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CITATIONS
Cited by 10 scholarly publications.
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KEYWORDS
Cognitive modeling

Systems modeling

Intelligence systems

Knowledge acquisition

Probability theory

Process modeling

Rule based systems

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