Rózewski / Rózewski / Novikov | New Frontiers in Information and Production Systems Modelling and Analysis | E-Book | sack.de
E-Book

E-Book, Englisch, Band 98, 268 Seiten, eBook

Reihe: Intelligent Systems Reference Library

Rózewski / Rózewski / Novikov New Frontiers in Information and Production Systems Modelling and Analysis

Incentive Mechanisms, Competence Management, Knowledge-based Production
1. Auflage 2016
ISBN: 978-3-319-23338-3
Verlag: Springer International Publishing
Format: PDF
 Kopierschutz: 1 - PDF Watermark

Incentive Mechanisms, Competence Management, Knowledge-based Production

E-Book, Englisch, Band 98, 268 Seiten, eBook

Reihe: Intelligent Systems Reference Library

ISBN: 978-3-319-23338-3
Verlag: Springer International Publishing
Format: PDF
 Kopierschutz: 1 - PDF Watermark

This 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.
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Zielgruppe

Research

Autoren/Hrsg.

Rózewski, Przemyslaw
Novikov, Dmitry
Bakhtadze, Natalia
Zaikin, Oleg

Weitere Infos & Material

Teams.- 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.

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