000 03810nam a22006135i 4500
001 978-3-319-23338-3
003 DE-He213
005 20200421111701.0
007 cr nn 008mamaa
008 151026s2016 gw | s |||| 0|eng d
020 _a9783319233383
_9978-3-319-23338-3
024 7 _a10.1007/978-3-319-23338-3
_2doi
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[electronic resource] :
_bIncentive Mechanisms, Competence Management, Knowledge-based Production /
_cedited by Przemys�aw R�ożewski, 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 from the 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 _aR�ożewski, 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 _uhttp://dx.doi.org/10.1007/978-3-319-23338-3
912 _aZDB-2-ENG
942 _cEBK
999 _c54971
_d54971