000			03836nam a22006135i 4500
001			978-3-319-23338-3
003			DE-He213
005			20180206182940.0
007			cr nn 008mamaa
008			151026s2016 gw | s |||| 0|eng d
020			_a9783319233383 _9978-3-319-23338-3
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
245	1	0	_aNew Frontiers in Information and Production Systems Modelling and Analysis _h[recurso electrónico] : _bIncentive Mechanisms, Competence Management, Knowledge-based Production / _cedited by Przemys?aw Ró?ewski, Dmitry Novikov, Natalia Bakhtadze, Oleg Zaikin.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016.
300			_aXII, 268 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aIntelligent Systems Reference Library, _x1868-4394 ; _v98
505	0		_aTeams.-Incentive Mechanisms for Multi-Agent Organizational Systems -- Optimal organizational structures for change management in production -- Knowledge-based models of nonlinear systems based on inductive learning -- Multiple criteria decision support system for tender consortium building within the cluster organization -- Guideline for MCDA method selection in production management area -- Declarative modelling driven approach to production orders portfolio prototyping -- A knowledge-based system for new product portfolio selection.
520			_aThis book demonstrates how to apply modern approaches to complex system control in practical applications involving knowledge-based systems. The dimensions of knowledge-based systems are extended by incorporating new perspectives from control theory, multimodal systems and simulation methods. The book is divided into three parts: theory, production system and information system applications. One of its main focuses is on an agent-based approach to complex system analysis. Moreover, specialised forms of knowledge-based systems (like e-learning, social network, and production systems) are introduced with a new formal approach to knowledge system modelling. The book, which offers a valuable resource for researchers engaged in complex system analysis, is the result of a unique cooperation between scientists from applied computer science (mainly from Poland) and leading system control theory researchers fromthe Russian Academy of Sciences? Trapeznikov Institute of Control Sciences.
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aGame theory.
650		0	_aComputational intelligence.
650		0	_aControl engineering.
650		0	_aRobotics.
650		0	_aMechatronics.
650		0	_aIndustrial engineering.
650		0	_aProduction engineering.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aIndustrial and Production Engineering.
650	2	4	_aControl, Robotics, Mechatronics.
650	2	4	_aGame Theory, Economics, Social and Behav. Sciences.
700	1		_aRó?ewski, Przemys?aw. _eeditor.
700	1		_aNovikov, Dmitry. _eeditor.
700	1		_aBakhtadze, Natalia. _eeditor.
700	1		_aZaikin, Oleg. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319233376
830		0	_aIntelligent Systems Reference Library, _x1868-4394 ; _v98
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-23338-3
912			_aZDB-2-ENG
942			_cLIBRO_ELEC
999			_c225599 _d225599