Atjaunināt sīkdatņu piekrišanu

New Frontiers in Information and Production Systems Modelling and Analysis: Incentive Mechanisms, Competence Management, Knowledge-based Production Softcover reprint of the original 1st ed. 2016 [Mīkstie vāki]

Edited by , Edited by , Edited by , Edited by
  • Formāts: Paperback / softback, 268 pages, height x width: 235x155 mm, weight: 4277 g, XII, 268 p., 1 Paperback / softback
  • Sērija : Intelligent Systems Reference Library 98
  • Izdošanas datums: 23-Aug-2016
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 331937270X
  • ISBN-13: 9783319372709
  • Mīkstie vāki
  • Cena: 91,53 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 107,69 €
  • Ietaupiet 15%
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
  • Formāts: Paperback / softback, 268 pages, height x width: 235x155 mm, weight: 4277 g, XII, 268 p., 1 Paperback / softback
  • Sērija : Intelligent Systems Reference Library 98
  • Izdošanas datums: 23-Aug-2016
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 331937270X
  • ISBN-13: 9783319372709
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.
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.