Many systems are better represented by models with a dynamic structure/topology. Changes in system structure involve the modification of components' interactions and the addition/removal of components.

Examples of structure variant systems include adaptive computer architectures, self-configuring sensor networks and biological systems. The ability to mimic changes in system structure into model topology provides a powerful construct to obtain simpler descriptions of reality, enabling the representation of very complex systems.

We solicit original, previously unpublished papers offering new contributions in the following (non-exhaustive) list of topics:

• Methodology
  • Discrete event, synchronous and hybrid dynamic structure M&S formalisms
  • Verification & validation of dynamic structure models
• Applications
  • Reconfigurable computer architectures
  • Biological systems
  • Self-adaptive systems
  • Self-configuring sensor networks
  • Random networks
  • Adaptive software topologies
  • Adaptive algorithms
  • Manufacturing systems
  • Mobile agents
  • Dynamic structure cellular automata

• Jean Filippi, University of Corsica, France
• Jan Himmelspach, University of Rostock, Germany
• Xiaolin Hu, Georgia State University, USA
• Pieter Mosterman, The MathWorks, USA
• Thorsten Pawletta, Wismar University of Applied Sciences, Germany
• John Plaice, University of New South Wales, Australia
• Mamadou Traoré, Blaise Pascal University, France
• Hans Vangheluwe, University of Antwerp, Belgium

Authors must strictly follow the general SCSC guidelines and instructions for authors (that can be found here).