New Frontiers in Information and Production Systems Modelling and Analysis [recurso electrónico] : Incentive Mechanisms, Competence Management, Knowledge-based Production / edited by Przemys?aw Ró?ewski, Dmitry Novikov, Natalia Bakhtadze, Oleg Zaikin.
Tipo de material: TextoSeries Intelligent Systems Reference Library ; 98Editor: Cham : Springer International Publishing : Imprint: Springer, 2016Descripción: XII, 268 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783319233383Tema(s): Engineering | Artificial intelligence | Game theory | Computational intelligence | Control engineering | Robotics | Mechatronics | Industrial engineering | Production engineering | Engineering | Computational Intelligence | Artificial Intelligence (incl. Robotics) | Industrial and Production Engineering | Control, Robotics, Mechatronics | Game Theory, Economics, Social and Behav. SciencesFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
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.
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 fromthe Russian Academy of Sciences? Trapeznikov Institute of Control Sciences.