Smart Agents for the Industry 4.0 Enabling Machine Learning in Industrial Production /

• Main Author: Hoffmann, Max (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2019.
• Edition: 1st ed. 2019.
• Subjects: Artificial intelligence.; Industrial engineering.; Production engineering.; Electrical engineering.; Artificial Intelligence.; Industrial and Production Engineering.; Communications Engineering, Networks.

Max Hoffmann describes the realization of a framework that enables autonomous decision-making in industrial manufacturing processes by means of multi-agent systems and the OPC UA meta-modeling standard. The integration of communication patterns and SOA with grown manufacturing systems enables an upg...

Table of Contents:

• Agent OPC UA - Semantic Scalability and Interoperability Architecture for MAS through OPC UA
• Management System Integration of OPC UA Based MAS
• Flexible Manufacturing Based on Autonomous, Decentralized Systems
• Use Cases for Industrial Automation.