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Titlebook: Smart Agents for the Industry 4.0; Enabling Machine Lea Max Hoffmann Book 2019 Springer Fachmedien Wiesbaden GmbH, part of Springer Nature

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Introduction,cial intelligence and big data are major trends in all sectors of modern life. Especially industrial production is significantly affected by the changes that are implied through an application of these forecasting technologies.
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State of the Art, and paradigms to optimize automated production processes are pointed out first, before further parts of this section will go into detail regarding technical realization by means of concrete technology stacks.
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Flexible Manufacturing based on Autonomous, Decentralized Systems,gents (Russell et al., 2010). Current applications of MAS are often characterized by simple reflex agents that exhibit a library of predefined rule sets. These agents have a determined behavior and are comparatively easy to set up, however they are also characterized by limited intelligence.
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Future Research Topics, automation systems of modern factories. As emphasized in the usecase section of this thesis, a decisive factor to strive for benefits of such approach consists in the incorporation of domain-specific knowledge into the development of automated process.
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978-3-658-27744-4Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2019
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Book 2019-agent systems and the OPC UA meta-modeling standard. The integration of communication patterns and SOA with grown manufacturing systems enables an upgrade of legacy environments in terms of Industry 4.0 related technologies. The added value of the derived solutions are validated through an industri
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