Unreduced Dynamic Complexity: Towards the Unified Science of Intelligent Communication Networks and Software

  • Andrei P. Kirilyuk
Part of the IFIP — The International Federation for Information Processing book series (IFIPAICT, volume 229)


Operation of autonomic communication network with complicated user-oriented functions should be described as unreduced many-body interaction process. The latter gives rise to complex-dynamic behaviour including fractally structured hierarchy of chaotically changing realisations. We recall the main results of the universal science of complexity based on the unreduced interaction problem solution and its application to various real systems, from nanobiosystems and quantum devices to intelligent networks and emerging consciousness. We concentrate then on applications to autonomic communication leading to fundamentally substantiated, exact science of intelligent communication and software. It aims at unification of the whole diversity of complex information system behaviour, similar to the conventional, “Newtonian” science order for sequential, regular models of system dynamics. Basic principles and first applications of the unified science of complex-dynamic communication networks and software are outlined to demonstrate its advantages and emerging practical perspectives.


Effective Potential Complexity Level Exact Science Dynamic Origin Intelligent Communication 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© International Federation for Information Processing 2007

Authors and Affiliations

  • Andrei P. Kirilyuk
    • 1
  1. 1.Solid State Theory DepartmentInstitute of Metal PhysicsKiev-142Ukraine

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