Optimization-Based Agent Simulations for Evaluating the SPEYES System
CONNECTICUT UNIV STORRS DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE
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This paper presents an optimization-based agent-driven Distributed Dynamic Decision-making DDD simulation model to evaluate the SPEYES Security and Patrolling Enablers Yielding Effective SASO - Support and Stability Operations system. The key challenge is to quantify the force multiplying effect of SPEYES technologies, which span sensing, situation awarenesscommand and control SAC2, and shaping components. The performance improvements were measured in terms of timeliness, effectiveness, and efficiency of operations. The behaviors of optimization-based agents were first calibrated to those of human-in-the-loop simulations. The agent-driven simulation results indicated that integration of SPEYES sensing, SAC2, and shaping technologies provided significant performance improvements to the force across all measures. Even at 50-reduced force, the SPEYES system maintained significant performance improvements over regular operations with a full force and without SPEYES, thus confirming the force multiplier effect of SPEYES technologies. The findings are confirmed by human-in-the-loop simulations.
- Military Operations, Strategy and Tactics