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New frontiers in information and pro...

Rozewski, Przemyslaw.

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New frontiers in information and production systems modelling and analysis = incentive mechanisms, competence management, knowledge-based production /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	New frontiers in information and production systems modelling and analysis/ edited by Przemyslaw Rozewski ... [et al.].
其他題名:	incentive mechanisms, competence management, knowledge-based production /
其他作者:	Rozewski, Przemyslaw.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xii, 268 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Information resources management. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-23338-3
ISBN:	9783319233383$q(electronic bk.)

New frontiers in information and production systems modelling and analysis = incentive mechanisms, competence management, knowledge-based production /
New frontiers in information and production systems modelling and analysisincentive mechanisms, competence management, knowledge-based production /[electronic resource] :edited by Przemyslaw Rozewski ... [et al.]. - Cham :Springer International Publishing :2016. - xii, 268 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.981868-4394 ;. - Intelligent systems reference library ;v.24..

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 from the Russian Academy of Sciences' Trapeznikov Institute of Control Sciences.

ISBN: 9783319233383$q(electronic bk.)

Standard No.: 10.1007/978-3-319-23338-3doiSubjects--Topical Terms:

582007
Information resources management.

LC Class. No.: T58.64

Dewey Class. No.: 658.4038

New frontiers in information and production systems modelling and analysis = incentive mechanisms, competence management, knowledge-based production /
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520 $a 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.
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