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.
Mục lục
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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