@Article{BGMOKS06_ag,
  AUTHOR = {Burmester, Sven and Giese, Holger and Münch, Eckehard and
  Oberschelp, Oliver and Klein, Florian and Scheideler, Peter},
  TITLE = {{Tool Support for the Design of Self-Optimizing Mechatronic
  Multi-Agent Systems}},
  YEAR = {2008},
  MONTH = {June},
  JOURNAL = {International Journal on Software Tools for Technology
  Transfer (STTT)},
  VOLUME = {10},
  NUMBER = {3},
  PAGES = {207-222},
  PUBLISHER = {Springer Verlag},
  URL =
  {http://www.springerlink.com/content/8577v571g7h24240/?p=577a80667db8499b87f1ba69b9087136},
  ABSTRACT = {Complex technical systems, such as mechatronic systems,
  can exploit networking as well as the computational power available
  today to achieve an automatic improvement of the technical system
  performance at run-time through self-optimization. To realize this
  vision, appropriate means for the design of such self-optimizing
  mechatronic systems are required. Well-established techniques and tools
  for the modeling of cognitive behavior, reflective behavior, and control
  behavior exist. However, to really enable self-optimization and its full
  potential, these different aspects have to be safely integrated in a
  manner that remains comprehensible to the designer. In this article,
  we present how this required integration has been realized at the
  semantic level by extending the unified modeling language (UML), and
  at the tool level by integrating the CAE tool CAMeL and the CASE tool
  Fujaba real-time tool suite. The presented Mechatronic UML approach
  supports the design of verifiable, complex, reconfigurable mechatronic
  systems using the multi-agent system metaphor.},
  KEYWORDS = {Components, Control, Hybrid systems, Mechatronic,
  Multi-agent systems, Real-Time, Reconfiguration, Self-optimization, UML}
}