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.
€96.29
विषयसूची
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.
भाषा अंग्रेज़ी ● स्वरूप PDF ● पेज 268 ● ISBN 9783319233383 ● फाइल का आकार 8.9 MB ● संपादक Przemysław Różewski & Dmitry Novikov ● प्रकाशक Springer International Publishing ● शहर Cham ● देश CH ● प्रकाशित 2015 ● डाउनलोड करने योग्य 24 महीने ● मुद्रा EUR ● आईडी 4641987 ● कॉपी सुरक्षा सामाजिक DRM
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