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Industrial Applications of Holonic and Multi-Agent Systems

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Cover of 'Industrial Applications of Holonic and Multi-Agent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 IEC 61499 and the Promise of Holonic Systems
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    Chapter 2 Engineering and Validating Cyber-Physical Energy Systems: Needs, Status Quo, and Research Trends
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    Chapter 3 Intelligent Multi-agent Platform for Designing Digital Ecosystems
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    Chapter 4 Contribution to the Theory of Uncertain Systems Alliances
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    Chapter 5 The Framework for Designing Autonomous Cyber-Physical Multi-agent Systems for Adaptive Resource Management
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    Chapter 6 Plan Executor MES: Manufacturing Execution System Combined with a Planner for Industry 4.0 Production Systems
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    Chapter 7 Multi-agent Supply Planning Methods Allowing the Real-Time Performance of the Supply Network Management Systems
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    Chapter 8 Operationalization of a Machine Learning and Fuzzy Inference-Based Defect Prediction Case Study in a Holonic Manufacturing System
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    Chapter 9 Cloud-Based Digital Twin for Industrial Robotics
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    Chapter 10 Semi-automatic Tool for Ontology Learning Tasks
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    Chapter 11 Agent-Based Approach for Decentralized Data Analysis in Industrial Cyber-Physical Systems
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    Chapter 12 Data Exchange Ontology for Interoperability Facilitation Within Industrial Automation Domain
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    Chapter 13 Information Exchange and Integration Within Industrial Automation Domain
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    Chapter 14 Plant Layout Optimization Using Evolutionary Algorithms
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    Chapter 15 Experimentation of Negotiation Protocols for Consensus Problems in Smart Parking Systems
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    Chapter 16 Development of Resource-Demand Networks for Smart Cities 5.0
Attention for Chapter 16: Development of Resource-Demand Networks for Smart Cities 5.0
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21 Mendeley
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Chapter title
Development of Resource-Demand Networks for Smart Cities 5.0
Chapter number 16
Book title
Industrial Applications of Holonic and Multi-Agent Systems
Published by
Springer, Cham, August 2019
DOI 10.1007/978-3-030-27878-6_16
Book ISBNs
978-3-03-027877-9, 978-3-03-027878-6

Sergey Kozhevnikov, Petr Skobelev, Ondrej Pribyl, Miroslav Svítek, Kozhevnikov, Sergey, Skobelev, Petr, Pribyl, Ondrej, Svítek, Miroslav

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 19%
Student > Ph. D. Student 3 14%
Student > Doctoral Student 2 10%
Student > Bachelor 2 10%
Professor 2 10%
Other 4 19%
Unknown 4 19%
Readers by discipline Count As %
Computer Science 9 43%
Engineering 4 19%
Business, Management and Accounting 1 5%
Economics, Econometrics and Finance 1 5%
Design 1 5%
Other 0 0%
Unknown 5 24%