Artificial Intelligence in Industry 4.0: A Collection of Innovative Research Case-Studies That Are Reworking the Way We Look at Industry 4.0 Thanks to

Book Overview

Part I: Managing the Industry 4.0 revolution.- Implementing Industry 4.0 -The Need for a Holistic Approach.- Motivation in a business company using technology-based communication.- Decision Support in Everyday Business using Self-Enforcing Networks.- Approaches for Cognitive Assistance in Industry 4.0.- Part II: Modelling for Industry 4.0.- Modelling and Simulation in Industry 4.0.- Homogenization algorithm based on incremental L2-discrepancy filtering for data-driven modelling.- Linking Industry 4.0, Learning Factory and Simulation: testbeds and proof-of-concept experiments.- Part III: Machine Learning in Industry 4.0.- Intelligent Digital Twin system in the semiconductors manufacturing industry.- Automatic defect recognition in nonwovens using images and metadata analysis - a deep learning approach.- MIRAI: A Modifiable, Interpretable, and Rational AI decision support system.- Multi-Agent Reinforcement Learning for the Energy Optimization of Cyber-Physical Production Systems.- Affect of artificial intelligence technologies and digitalisation on jurisprudence and education.- Part IV: Agents in Industry 4.0.- Approach for model driven development of multi agent systems for ambient intelligence.- Designing trust in highly automated virtual assistants: A taxonomy of levels of autonomy.- Introducing the concept of "digital-agent signatures" How SSI can be expanded for the needs of Industry 4.0.

• Format: Paperback
• Language: English
• ISBN: 3030610470
• ISBN13: 9783030610470
• Release Date: March 2022
• Publisher: Springer
• Length: 236 Pages
• Weight: 0.82 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"