Industrial Artificial Intelligence: A Predictive Agent Concept for Industry 4.0

Luis Alberto Cruz Salazar, Birgit Vogel-Heuser

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


'Artificial Intelligence in Industry 4.0', a technical report published by the working groups 'Technological and Application Scenarios' and 'Artificial Intelligence' (AI) of the Industry 4.0 (I4.0) platform, presents an innovative Industrial AI concept. Above all, it concludes that I4.0 experts and scientists must become accustomed to the behavior of autonomous AI-controlled systems, collaborate with them and comply with learnability requirements (predictability). Industrial AI instantly raises a set of concerns about existing norms and new standardizations. These frequently provide guidelines and, in some cases, offer procedures and implementations using design patterns. One way to produce AI in I4.0 systems is through Industrial Agents (IAs) due to their natural autonomy and additional intelligent characteristics, e.g., reactiveness, proactiveness, and human cooperativeness. Multi-Agent Systems (MASs) are particularly well suited for representing distributable AI that can develop I4.0 components being applied to various I4.0 scenarios. Considering the properties of IAs and the corresponding standards, an MAS architecture is used to understand the aspects of the flexible, intelligent, and automated Cyber-Physical Production System (CPPS). This article proposes a predictive IA for I4.0 (Agent4.0) to an agent-based CPPS architecture, leveraging IA design patterns and logical structure for implementing MAS. As a result, relevant standardized IA design patterns for I4.0 show how MAS can be created with the help of the Industrial AI requirements and Agent4.0 skills (functions) identified.

Original languageEnglish
Title of host publication2022 IEEE 20th International Conference on Industrial Informatics, INDIN 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781728175683
StatePublished - 2022
Event20th IEEE International Conference on Industrial Informatics, INDIN 2022 - Perth, Australia
Duration: 25 Jul 202228 Jul 2022

Publication series

NameIEEE International Conference on Industrial Informatics (INDIN)
ISSN (Print)1935-4576


Conference20th IEEE International Conference on Industrial Informatics, INDIN 2022


  • Agent4.0
  • Artificial Intelligence
  • Cyber-Physical Production Systems
  • Industrial Agents
  • Industry 4.0


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