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Proceedings Paper

Constructing adversarial models for threat/enemy intent prediction and inferencing
Author(s): Eugene Santos Jr.; Allesandro Negri
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Paper 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.

Paper Details

Date Published: 13 August 2004
PDF: 12 pages
Proc. SPIE 5423, Enabling Technologies for Simulation Science VIII, (13 August 2004); doi: 10.1117/12.546771
Show Author Affiliations
Eugene Santos Jr., Univ. of Connecticut (United States)
Allesandro Negri, Univ. of Connecticut (United States)

Published in SPIE Proceedings Vol. 5423:
Enabling Technologies for Simulation Science VIII
Dawn A. Trevisani; Alex F. Sisti, Editor(s)

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