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Control of Artificial Swarms with DDDAS

Elsevier B.V.
DOI: 10.1016/j.procs.2014.05.105
  • Swarm Intelligent Systems
  • Emergent Behavior
  • Swarm Control
  • Agent-Based Modeling
  • Design Pattern
  • Dddas


Abstract A framework for incorporating a swarm intelligent system with the Dynamic Data Driven Application System (DDDAS) is presented. Swarm intelligent systems, or artificial swarms, self-organize into useful emergent structures that are capable of solving complex problems, but are difficult to control and predict. The DDDAS concept utilizes repeated simulations of an executing application to improve analytic and predictive capability by creating a synergistic feedback loop. Incorporating DDDAS with swarm applications can significantly improve control of the swarm. An overview of the DDDAS framework for swarm control is presented, and then demonstrated with an example swarm application.

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