TY  - BOOK
AU  - Ró?ewski,Przemys?aw
AU  - Novikov,Dmitry
AU  - Bakhtadze,Natalia
AU  - Zaikin,Oleg
ED  - SpringerLink (Online service)
TI  - New Frontiers in Information and Production Systems Modelling and Analysis: Incentive Mechanisms, Competence Management, Knowledge-based Production 
T2  - Intelligent Systems Reference Library,
SN  - 9783319233383
AV  - Q342 
U1  - 006.3 23
PY  - 2016///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Engineering
KW  - Artificial intelligence
KW  - Game theory
KW  - Computational intelligence
KW  - Control engineering
KW  - Robotics
KW  - Mechatronics
KW  - Industrial engineering
KW  - Production engineering
KW  - Computational Intelligence
KW  - Artificial Intelligence (incl. Robotics)
KW  - Industrial and Production Engineering
KW  - Control, Robotics, Mechatronics
KW  - Game Theory, Economics, Social and Behav. Sciences
N1  - 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
N2  - 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
UR  - http://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-23338-3
ER  -