MECH: A Model for Predictive Analysis of Human Choices in Asymmetric Conflicts Conference Paper

abstract

• 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.

authors

• Liu, Jyh

published proceedings

• 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.

citation count

• 2

complete list of authors

• George, Stephen||Wang, Xing||Liu, Jyh-Charn

publication date

• January 2015

publisher

• Springer Nature  Publisher

published in

• Lecture Notes in Artificial Intelligence  Journal

Digital Object Identifier (DOI)

• 10.1007/978-3-319-16268-3_34

International Standard Book Number (ISBN) 13

• 9783319162676

start page

• 302

end page

• 307

volume

• 9021