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

Kirilyuk, Andrei (2005) Unreduced Dynamic Complexity: Towards the Unified Science of Intelligent Communication Networks and Software. [Conference Paper] (In Press)

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Abstract

Operation of autonomic communication networks 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 (http://cogprints.org/4471/) based on the unreduced interaction problem solution and its application to various real systems, from nanobiosystems (http://cogprints.org/4527/) and quantum devices to intelligent networks (http://cogprints.org/4114/) and emerging consciousness (http://cogprints.org/3857/). 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.

Item Type:Conference Paper
Additional Information:20 pages, 24 eqs, 28 refs; Invited talk at the IFIP TC6 Conference "Network Control and Engineering for QoS, Security and Mobility" (Lannion, 14-18 November 2005), http://www.netcon05.org/programme.php
Keywords:pervasive computing; knowledge-based networks; context awareness; complex interaction dynamics; dynamic multivaluedness; chaos; self-organisation; probabilistic dynamical fractal; universal symmetry of complexity; complexity correspondence principle; complex-dynamical control; complexity transition; mathematics of complexity
Subjects:Computer Science > Dynamical Systems
Computer Science > Complexity Theory
Computer Science > Artificial Intelligence
Computer Science > Human Computer Interaction
ID Code:4785
Deposited By: Kirilyuk, Andrei
Deposited On:18 Mar 2006
Last Modified:11 Mar 2011 08:56

References in Article

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For a non-technical overview see also Physics/9806002 at http://arXiv.org

14. A.P. Kirilyuk, Dynamically Multivalued Self-Organisation and Probabilistic Structure Formation Processes, Solid State Phenomena 97–98 (2004) 21–26.

Physics/0405063 at http://arXiv.org.

15. A.P. Kirilyuk, Universal Symmetry of Complexity and Its Manifestations at Different Levels of World Dynamics, Proceedings of Institute of Mathematics of NAS of Ukraine 50 (2004) 821–828.

Physics/0404006 at http://arXiv.org.

16. A.P. Kirilyuk, The Universal Dynamic Complexity as Extended Dynamic Fractality: Causally Complete Understanding of Living Systems Emergence and Operation, in: Fractals in Biology and Medicine. Vol. III, edited by G.A. Losa, D. Merlini, T.F. Nonnenmacher, and E.R.Weibel (Birkhauser, Basel, 2002), pp. 271–284.

Physics/0305119 at http://arXiv.org.

17. A.P. Kirilyuk, Dynamically Multivalued, Not Unitary or Stochastic, Operation of Real Quantum, Classical and Hybrid Micro-Machines, Physics/0211071 at http://arXiv.org.

18. A.P. Kirilyuk, Complex-Dynamical Extension of the Fractal Paradigm and Its Applications in Life Sciences, in: Fractals in Biology and Medicine. Vol. IV, edited by G.A. Losa, D. Merlini, T.F. Nonnenmacher, and E.R. Weibel (Birkhauser, Basel, 2005), pp. 233–244.

Physics/0502133 at http://arXiv.org.

19. A.P. Kirilyuk, Complex Dynamics of Real Nanosystems: Fundamental Paradigm for Nanoscience and Nanotechnology, Nanosystems, Nanomaterials, Nanotechnologies 2 (2004) 1085–1090.

Physics/0412097 at http://arXiv.org.

20. A.P. Kirilyuk, Emerging Consciousness as a Result of Complex-Dynamical Interaction Process, Report at the EXYSTENCE workshop Machine Consciousness: Complexity Aspects (Turin, 29 Sep – 1 Oct 2003). Physics/0409140 at http://arXiv.org.

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