MECH: A Model for Predictive Analysis of Human Choices in Asymmetric Conflicts
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Springer International Publishing Switzerland 2015. This paper presents a novel behavior model to characterize functional requirements and environmental constraints for attackers planning attacks in asymmetric conflicts (AC). The Monitor, Emplacement, and Command/Control in a Halo (MECH) model offers a flexible representation of the physical relationships between belligerents, based on behaviors and risk preferences. MECH supports automated reasoning of locational utilities of AC based on risk-informed human behaviors. We populate the model with a set of 77 features derived from visibility analysis, terrain and local population and show that it is effective for statistics-based classification of roadside attack locations and ranking of tactical values for situational awareness applications.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
author list (cited authors)
George, S., Wang, X., & Liu, J.
complete list of authors
George, Stephen||Wang, Xing||Liu, Jyh-Charn