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020 _a9783319233383
040 _aES-MaUEC
050 4 _aT58.64
_bN494 2016
082 0 4 _a006.3
245 1 0 _aNew Frontiers in Information and Production Systems Modelling and Analysis :
_bIncentive Mechanisms, Competence Management, Knowledge-based Production
_cedited by Przemysław Rózewski, Dmitry Novikov, Natalia Bakhtadze, Oleg Zaikin
250 _a1st ed.
260 _aCham
_bSpringer International Publishing
_c2016
300 _a1 recurso en línea (XII, 268 páginas)
_b71 ilustraciones, 35 ilustraciones en color
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 0 _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 3 _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 from�the Russian Academy of Sciences� Trapeznikov Institute of Control Sciences.
710 2 _aSpringerLink (Online service)
_0Local
_9106996
942 _2lcc
_cLE
988 _aEBOOK, asignarmaterias , EBSPRINGER
650 7 _aInteligencia artificial
_0comprobar BNE19900997218
_2embne
_9413115
650 0 7 _aTeoría de juegos
_0
_2embne
_9686845
700 1 _aRózewski, Przemysław.
_eeditor literario
_997484
_0Local
700 1 _aNovikov, Dmitry.
_eeditor literario
_997485
_0Local
700 1 _aBakhtadze, Natalia
_eeditor literario
_0Local
_997486
700 1 _aZaikin, Oleg
_eeditor literario
_0Local
_997487
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-23338-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901 _ai9783319233383
907 _a.b12941931
_b10-10-17
_c21-11-16
998 _am
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_a_vill
_b - -
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