New Frontiers in Information and Production Systems Modelling and Analysis: Incentive Mechanisms, Competence Management, Knowledge-based Production: Intelligent Systems Reference Library, cartea 98
Editat de Przemysław Różewski, Dmitry Novikov, Natalia Bakhtadze, Oleg Zaikinen Limba Engleză Paperback – 23 aug 2016
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.
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 631.75 lei 43-57 zile | |
Springer International Publishing – 23 aug 2016 | 631.75 lei 43-57 zile | |
Hardback (1) | 637.92 lei 43-57 zile | |
Springer International Publishing – 4 noi 2015 | 637.92 lei 43-57 zile |
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Specificații
ISBN-13: 9783319372709
ISBN-10: 331937270X
Pagini: 268
Ilustrații: XII, 268 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.4 kg
Ediția:Softcover reprint of the original 1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Intelligent Systems Reference Library
Locul publicării:Cham, Switzerland
ISBN-10: 331937270X
Pagini: 268
Ilustrații: XII, 268 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.4 kg
Ediția:Softcover reprint of the original 1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Intelligent Systems Reference Library
Locul publicării:Cham, Switzerland
Cuprins
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.
Textul de pe ultima copertă
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.
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.
Caracteristici
Presents a modern approach to complex system control Demonstrates practical applications of knowledge-based systems Extends knowledge-based systems by incorporating new perspectives from game theory and multimodal systems Includes supplementary material: sn.pub/extras