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| 001 | 84915 | ||
| 003 | ES-MaUEC | ||
| 005 | 20240111050119.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 151026s2016 gw | s |||| 0|eng d | ||
| 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 |
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| 300 |
_a1 recurso en línea (XII, 268 páginas) _b71 ilustraciones, 35 ilustraciones en color |
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| 336 |
_aTexto _btxt _2rdacontent |
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| 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 |
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| 942 |
_2lcc _cLE |
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| 988 | _aEBOOK, asignarmaterias , EBSPRINGER | ||
| 650 | 7 |
_aInteligencia artificial _0comprobar BNE19900997218 _2embne _9413115 |
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| 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 |
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| 700 | 1 |
_aBakhtadze, Natalia _eeditor literario _0Local _997486 |
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| 700 | 1 |
_aZaikin, Oleg _eeditor literario _0Local _997487 |
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| 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 | ||
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_a.b12941931 _b10-10-17 _c21-11-16 |
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