New frontiers in information and pro...
Rozewski, Przemyslaw.

 

  • New frontiers in information and production systems modelling and analysis[electronic resource] :incentive mechanisms, competence management, knowledge-based production /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 658.4038
    書名/作者: New frontiers in information and production systems modelling and analysis : incentive mechanisms, competence management, knowledge-based production // edited by Przemyslaw Rozewski ... [et al.].
    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.
    Contained By: Springer eBooks
    標題: Information resources management.
    標題: Expert systems (Computer science)
    標題: Engineering.
    標題: Computational Intelligence.
    標題: Artificial Intelligence (incl. Robotics)
    標題: Industrial and Production Engineering.
    標題: Control, Robotics, Mechatronics.
    標題: Game Theory, Economics, Social and Behav. Sciences.
    ISBN: 9783319233383
    ISBN: 9783319233376
    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.
    摘要、提要註: 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.
    電子資源: http://dx.doi.org/10.1007/978-3-319-23338-3
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