Complex Dynamics of Autonomous Communication Networks and the Intelligent Communication Paradigm
| dc.creator | Kirilyuk, Andrei P. | |
| dc.date | 2004-12-09 | |
| dc.date | 2006-03-16 | |
| dc.date.accessioned | 2026-07-07T06:40:30Z | |
| dc.date.available | 2026-07-07T06:40:30Z | |
| dc.description | Dynamics of arbitrary communication system is analysed as unreduced interaction process. The applied generalised, universally nonperturbative method of effective potential reveals the phenomenon of dynamic multivaluedness of competing system configurations forced to permanently replace each other in a causally random order, which leads to universally defined dynamical chaos, complexity, fractality, self-organisation, and adaptability (physics/9806002, physics/0211071, physics/0405063). We demonstrate the origin of huge, exponentially high efficiency of the unreduced, complex network dynamics and specify the universal symmetry of complexity (physics/0404006) as the fundamental guiding principle for creation and control of such qualitatively new kind of networks and devices. The emerging intelligent communication paradigm and its practical realisation in the form of knowledge-based networks involve the features of true, unreduced intelligence and consciousness (physics/0409140) appearing in complex (multivalued) network dynamics and results. | |
| dc.description | 12 pages, 24 eqs, 10 refs; Report presented at the International Workshop on Autonomic Communication (Berlin, 18-19 October 2004), http://www.autonomic-communication.org/wac/wac2004/program.html; see also http://europa.eu.int/information_society/istevent/2004/cf/viewpeopledetail.cfm?people_id=7338 for conference presentation versions; metadata correction in v2 | |
| dc.identifier | https://arxiv.org/abs/physics/0412058 | |
| dc.identifier | http://arxiv.org/abs/physics/0412058 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/101409 | |
| dc.subject | General Physics | |
| dc.title | Complex Dynamics of Autonomous Communication Networks and the Intelligent Communication Paradigm | |
| dc.type | text |