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Industrial Applications of Holonic and Multi-Agent Systems

Overview of attention for book
Cover of 'Industrial Applications of Holonic and Multi-Agent Systems'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Method of Adaptive Cargo Flow Scheduling for ISS RS Based on Multi-agent Technology
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    Chapter 2 Total Setup Time Minimisation in Production Scheduling with Alternatives
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    Chapter 3 Agent-Based Shop Floor Scheduling
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    Chapter 4 Enabling Semantics within Industry 4.0
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    Chapter 5 Semi-automatic Ontology Matching Approach for Integration of Various Data Models in Automotive
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    Chapter 6 Ontology-Based Cooperation in Cyber-Physical Social Systems
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    Chapter 7 Auto-Generation of Distributed Automation Software Based on Formal Product Line Specification
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    Chapter 8 Boolean Network Models of Collective Dynamics of Open and Closed Large-Scale Multi-agent Systems
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    Chapter 9 Slicing Simulation Models into Co-simulations
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    Chapter 10 Simulation-Enhanced Development of Industrial Cyber-Physical Systems Using OPC-UA and IEC 61499
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    Chapter 11 An Agent-Based Approach for the Dynamic and Decentralized Service Reconfiguration in Collaborative Production Scenarios
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    Chapter 12 An Integrated Research Infrastructure for Validating Cyber-Physical Energy Systems
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    Chapter 13 Simulation-Based Validation of Smart Grids – Status Quo and Future Research Trends
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    Chapter 14 Prediction Models for Short-Term Load and Production Forecasting in Smart Electrical Grids
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    Chapter 15 Validating Intelligent Power and Energy Systems – A Discussion of Educational Needs
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    Chapter 16 Conceptual Model of Complex Multi-agent System Smart City 4.0
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    Chapter 17 An Embedded Agent-Based Intelligent Industrial Wireless Sensor Network
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    Chapter 18 Multi-robotic Area Exploration for Environmental Protection
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    Chapter 19 Human-in-the-Loop Control Processes in Gas Turbine Maintenance
Attention for Chapter 15: Validating Intelligent Power and Energy Systems – A Discussion of Educational Needs
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Chapter title
Validating Intelligent Power and Energy Systems – A Discussion of Educational Needs
Chapter number 15
Book title
Industrial Applications of Holonic and Multi-Agent Systems
Published in
arXiv, October 2017
DOI 10.1007/978-3-319-64635-0_15
Book ISBNs
978-3-31-964634-3, 978-3-31-964635-0
Authors

Panos Kotsampopoulos, Nikos Hatziargyriou, Thomas I. Strasser, Cyndi Moyo, Sebastian Rohjans, Cornelius Steinbrink, Sebastian Lehnhoff, Peter Palensky, Arjen A. van der Meer, Daniel Esteban Morales Bondy, Kai Heussen, Mihai Calin, Ata Khavari, Maria Sosnina, J. Emilio Rodriguez, Graeme M. Burt, P. Kotsampopoulos, N. Hatziargyriou, T. I. Strasser, C. Moyo, S. Rohjans, C. Steinbrink, S. Lehnhoff, P. Palensky, A. A. van der Meer, D. E. Morales Bondy, K. Heussen, M. Calin, A. Khavari, M. Sosnina, J. E. Rodriguez, G. M. Burt

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 4 24%
Student > Bachelor 2 12%
Researcher 2 12%
Student > Master 1 6%
Student > Doctoral Student 1 6%
Other 2 12%
Unknown 5 29%
Readers by discipline Count As %
Engineering 7 41%
Computer Science 3 18%
Economics, Econometrics and Finance 1 6%
Psychology 1 6%
Unknown 5 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 October 2017.
All research outputs
#20,449,496
of 23,005,189 outputs
Outputs from arXiv
#674,880
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#282,128
of 323,390 outputs
Outputs of similar age from arXiv
#18,774
of 21,187 outputs
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So far Altmetric has tracked 944,008 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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