Abstract
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.
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CITATION STYLE
George, S., Wang, X., & Liu, J. C. (2015). MECH: A model for predictive analysis of human choices in asymmetric conflicts∗. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9021, pp. 302–307). Springer Verlag. https://doi.org/10.1007/978-3-319-16268-3_34
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