Complex Systems

“Complexity tends to increase as functions and modifications are added to a system to break through limitations, handle exceptional circumstances or adapt to a world itself more complex”

Complex Systems are defined as systems that are composed of many independent system elements playing a key role in the whole system’s behavior. While the independent system elements follow their own logic and behavior, and interact among themselves, such elements define the dynamic behavior observed in a collectively Complex system. Based on the principles of Complexity Science, the complexity in any system can be characterized by understanding the relations, interactions and the behavior of the constituent system elements. The whole idea of complex system is still fuzzy based on the fact that it differs in definition, understanding and its idea from one researcher to the other according to their perspective.

RIMES focuses on understanding and assessing the relationships between sub systems/components of a complex system, identifying the ability of a component/sub system to store and assess the information in a system, assessing and identifying the interaction patterns of components/sub systems in a system, using complementarity approach to holistically judge system desirability, using quantum mechanical principles to understand systems, fostering cognizance in system descriptions

  • Stefan Hempel and Eric D. Smith, Self-Reference as a Principal Indicator of Complexity with a Zachman Emphasis, Complex Adaptive Systems Conference, Chicago, IL, 2011.
  • Bharath Dantu and Eric D. Smith, Medical Process Modeling with a Hybrid System Dynamics Zachman Framework, Complex Adaptive Systems Conference, Chicago, IL, 2011.
  • Ramakanth Gona and Eric D. Smith, Enterprise Transformation through Aspects and Levels: Zachman Bayesian Approach, Complex Adaptive Systems Conference, Chicago, IL, 2011.
  • Stefan Hempel, Ricardo Pineda and Eric D. Smith, Self-Reference as a Principal Indicator of Complexity, International Conference on Systems Engineering, Las Vegas, NV, 2011
  • Ramakanth Gona and Eric D. Smith, Healthcare Enterprise Quality Assessment with a Zachman-Bayesian Framework, Industrial Engineering Research Conference (IERC), Institute of Industrial Engineers (IIE), Reno, NV, 2011.
  • Bharath Dantu and Eric D. Smith, Diagnostic Modelling for Medical Decision Making, Industrial Engineering Research Conference (IERC), Institute of Industrial Engineers (IIE), Reno, NV, 2011.

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