System-of-Systems Engineering - Liophant Simulation
System-of-Systems Engineering - Liophant Simulation
System-of-Systems Engineering - Liophant Simulation
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Impact <strong>of</strong> Complexity on Modeling and <strong>Simulation</strong>• Self Organization– Feedback and interactions must be captured• Non-Linearity– Behavior is more than sum <strong>of</strong> the behavior <strong>of</strong> the components– Tiny change in a condition can eventually lead to a huge number<strong>of</strong> different possible results• Adaptation– Complex systems continually adapt to their environment toimprove performance– Adaptive agents are more robust but more difficult to create• Heterogeneity– Chance <strong>of</strong> emulating emergent behavior increases with moreinteractions <strong>of</strong> diverse agentsDeveloping Methods and Techniques for <strong>System</strong> <strong>of</strong> <strong>System</strong>s <strong>Engineering</strong>Dr. Dimitri Mavris, dimitri.mavris@ae.gatech.edu26