Abstract : 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 awareness/command and control (SA/C2), 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, SA/C2, 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.
[1]
Feili Yu,et al.
SPEYES: Sensing and Patrolling Enablers Yielding Effective SASO
,
2005,
2005 IEEE Aerospace Conference.
[2]
Krishna R. Pattipati,et al.
A Multi-Agent Decision Framework for DDD-III Environment *
,
2003
.
[3]
Yuri N. Levchuk,et al.
Normative Design of Organizations — Part I : Mission Planning
,
2001
.
[4]
Peter Kolesar,et al.
Square Root Laws for Fire Engine Response Distances
,
1973
.
[5]
Sui Ruan,et al.
Patrolling in a Stochastic Environment
,
2005
.
[6]
Krishna R. Pattipati,et al.
Normative design of organizations. I. Mission planning
,
2002,
IEEE Trans. Syst. Man Cybern. Part A.