000			03623nam a22004455i 4500
001			u373065
003			SIRSI
005			20160812084128.0
007			cr nn 008mamaa
008			110429s2011 sz | s |||| 0|eng d
020			_a9783034801300 _9978-3-0348-0130-0
040			_cMX-MeUAM
050		4	_aQA76.9.C643
050		4	_aTK5105.5-5105.9
082	0	4	_a004.6 _223
100	1		_aMüller-Schloer, Christian. _eeditor.
245	1	0	_aOrganic Computing — A Paradigm Shift for Complex Systems _h[recurso electrónico] / _cedited by Christian Müller-Schloer, Hartmut Schmeck, Theo Ungerer.
264		1	_aBasel : _bSpringer Basel, _c2011.
300			_aXXX, 627p. 100 illus., 10 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aAutonomic Systems ; _v1
520			_aOrganic Computing has emerged as a challenging vision for future information processing systems. Its basis is the insight that we will increasingly be surrounded by and depend on large collections of autonomous systems, which are equipped with sensors and actuators, aware of their environment, communicating freely, and organising themselves in order to perform actions and services required by the users.   These networks of intelligent systems surrounding us open fascinating application areas and at the same time bear the problem of their controllability. Hence, we have to construct such systems as robust, safe, flexible, and trustworthy as possible. In particular, a strong orientation towards human needs as opposed to a pure implementation of the technologically possible seems absolutely central. The technical systems, which can achieve these goals will have to exhibit life-like or "organic" properties. "Organic Computing Systems" adapt dynamically to their current environmental conditions. In order to cope with unexpected or undesired events they are self-organising, self-configuring, self-optimising, self-healing, self-protecting, self-explaining, and context-aware, while offering complementary interfaces for higher-level directives with respect to the desired behaviour. First steps towards adaptive and self-organising computer systems are being undertaken. Adaptivity, reconfigurability, emergence of new properties, and self-organisation are hot topics in a variety of research groups worldwide.   This book summarises the results of a 6-year priority research program (SPP) of the German Research Foundation (DFG) addressing these fundamental challenges in the design of Organic Computing systems. It presents and discusses the theoretical foundations of Organic Computing, basic methods and tools, learning techniques used in this context, architectural patterns and many applications. The final outlook shows that in the mean-time Organic Computing ideas have spawned a variety of promising new projects.
650		0	_aComputer science.
650		0	_aComputer network architectures.
650	1	4	_aComputer Science.
650	2	4	_aComputer Systems Organization and Communication Networks.
700	1		_aSchmeck, Hartmut. _eeditor.
700	1		_aUngerer, Theo. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783034801294
830		0	_aAutonomic Systems ; _v1
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-0348-0130-0
596			_a19
942			_cLIBRO_ELEC
999			_c200945 _d200945