dorsal/arxiv
View SchemaUnreduced Dynamic Complexity: Towards the Unified Science of Intelligent Communication Networks and Software
| Authors | Andrei P. Kirilyuk |
|---|---|
| Categories | |
| ArXiv ID | physics/0603132 |
| URL | https://arxiv.org/abs/physics/0603132 |
| Journal | IFIP, Vol. 229, Network Control and Engineering for QoS, Security, and Mobility, IV, ed. Gaiti, D. (Springer, Boston, 2007), pp. 1-20 |
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 (physics/9806002) based on the unreduced interaction problem solution and its application to various real systems, from nanobiosystems (physics/0412097, physics/0502133) and quantum devices (physics/0211071) to intelligent networks (physics/0412058) and emerging consciousness (physics/0409140). 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.
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"abstract": "Operation of autonomic communication networks with complicated user-oriented\nfunctions should be described as unreduced many-body interaction process. The\nlatter gives rise to complex-dynamic behaviour including fractally structured\nhierarchy of chaotically changing realisations. We recall the main results of\nthe universal science of complexity (physics/9806002) based on the unreduced\ninteraction problem solution and its application to various real systems, from\nnanobiosystems (physics/0412097, physics/0502133) and quantum devices\n(physics/0211071) to intelligent networks (physics/0412058) and emerging\nconsciousness (physics/0409140). We concentrate then on applications to\nautonomic communication leading to fundamentally substantiated, exact science\nof intelligent communication and software. It aims at unification of the whole\ndiversity of complex information system behaviour, similar to the conventional,\n\"Newtonian\" science order for sequential, regular models of system dynamics.\nBasic principles and first applications of the unified science of\ncomplex-dynamic communication networks and software are outlined to demonstrate\nits advantages and emerging practical perspectives.",
"arxiv_id": "physics/0603132",
"authors": [
"Andrei P. Kirilyuk"
],
"categories": [
"physics.gen-ph"
],
"journal_ref": "IFIP, Vol. 229, Network Control and Engineering for QoS, Security,\n and Mobility, IV, ed. Gaiti, D. (Springer, Boston, 2007), pp. 1-20",
"title": "Unreduced Dynamic Complexity: Towards the Unified Science of Intelligent Communication Networks and Software",
"url": "https://arxiv.org/abs/physics/0603132"
},
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