Revival of MAS Technologies in Industry
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F21%3A00352898" target="_blank" >RIV/68407700:21730/21:00352898 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-662-63519-3_6" target="_blank" >https://doi.org/10.1007/978-3-662-63519-3_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-662-63519-3_6" target="_blank" >10.1007/978-3-662-63519-3_6</a>
Alternative languages
Result language
angličtina
Original language name
Revival of MAS Technologies in Industry
Original language description
Multi-Agent Systems (MAS) were proposed in the mid-1980s to provide a means for control of complex distributed systems. Although the topic received significant attention from the research community, which resulted in many methodologies and theoretical concepts, industrial practitioners’ adoption remained low. A wave of innovations referred to as Industry 4.0 brought new technologies focused on easier integration of heterogeneous systems. Semantic technologies were recognized as a suitable tool for the axiomatic information modelling of production systems, and the OPC-UA communication standard brought a means of secure communication and principles of object-oriented information modelling to the layer of process control. In this paper, a new MAS Platform - Cluster 4.0 Integration Platform is introduced. It utilizes (1) semantics to explicitly describe products, production, and resources for their easier integration and exploitation and (2) OPC-UA to connect software agents to physical machines.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
<a href="/en/project/EF16_026%2F0008432" target="_blank" >EF16_026/0008432: Cluster 4.0 - Methodology of System Integration</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVIII
ISBN
978-3-662-63518-6
Number of pages of the result
14
Pages from-to
131-144
Number of pages of the book
197
Publisher name
Springer-Verlag
Place of publication
Berlin
UT code for WoS chapter
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