Campaign Level Adversarial Modeling System

Securboration, working closely with Dr. Eugene Santos from the University of Connecticut, is developing the Emergent Adversarial Modeling System (EAMS). EAMS models adversarial actions through a distinct link to adversarial intent and emergent (or dynamic) behavior. The Phase I effort proved the EAMS environment’s ability to model emergent behavior based upon adversarial intent and observable actions. In Phase II the EAMS concept will be expanded to include: 1) adversarial models based on adversary intent, 2) modification of those models for emergent behavior, 3) specifying models with an Adversarial Knowledge Specification Language (AKSL), 4) tools for tuning and optimization of adversary components, and 5) validation through a working prototype. The objective of EAMS is to provide a realistic simulation of emergent behavior of Red (enemy) force actions/reactions based on Blue force actions. In cold war era conflicts where likely adversaries were expected to exhibit similar capabilities and doctrine to Blue forces attrition based simulations achieved capable results. In the post-cold war era of limited conflict and unconventional enemy response, simulations based on attrition principles do not yield realistic or useable results. Non-conventional enemies seldom have capabilities that rival US or coalition forces in technology or technique. In these cases adversarial intent and response behavior become important considerations. EAMS will demonstrate alterations of Red force behavior in response to observed Blue force actions. This type of fluid dynamic response will move beyond the attrition-based “who can knock out what first” doctrine and provide military planners and intelligence analysts with a more realistic simulation of adversarial actions.