New Frontiers in Information and Production Systems Modelling and Analysis
Incentive Mechanisms, Competence Management, Knowledge-based Production
Nonfiction, Science & Nature, Technology, Engineering, Industrial, Computers, Advanced Computing, Artificial Intelligence, General Computing
| Author: | ISBN: | 9783319233383 | |
| Publisher: | Springer International Publishing | Publication: | October 26, 2015 |
| Imprint: | Springer | Language: | English |
| Author: | |
| ISBN: | 9783319233383 |
| Publisher: | Springer International Publishing |
| Publication: | October 26, 2015 |
| Imprint: | Springer |
| Language: | English |
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.
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.
