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

Andrei Kirilyuk (1)

1 Solid State Theory Department

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.

Mots clés: 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

Domaines: Dynamique Chaotique [nlin.CD]; Réseaux et télécommunications [cs.NI]; Intelligence artificielle [cs.AI]; Complexité [cs.CC]; Physique Générale [physics.gen-ph]

Andrei Kirilyuk. Unreduced Dynamic Complexity: Towards the Unified Science of Intelligent Communication Networks and Software. Gaïti, D. IFIP, Vol. 229, Network Control and Engineering for QoS, Security, and Mobility, IV, Springer, pp.1-20, 2007. ⟨hal-00020771⟩