Topics Classification

7. Artificial Intelligence, Agentic AI & Intelligent Decision Support

This topic group explores applying artificial intelligence to industrial decision-making, including machine learning, intelligent decision support, agentic AI, and multi-agent systems. It covers autonomous and collaborative decision processes, human-centred and trustworthy AI, and AI-enabled approaches to improving the efficiency, adaptability, and intelligence of industrial systems.

7.1. AI, machine learning, agentic AI and multi-agent systems | AMEST 2027

AI-based methods for maintenance and Asset Management, from machine learning to autonomous and collaborative agents. Includes diagnosis, prognosis, planning, optimisation, and decision support.

7.2. AI, machine learning and intelligent decision support | IMS 2027

AI and machine-learning methods for analysing manufacturing systems and supporting operational and strategic decisions. Includes prediction, optimisation, and intelligent decision-support systems.

7.3. Agentic and multi-agent production systems | IMS 2027

Autonomous and collaborative agents capable of reasoning, coordinating and acting within manufacturing environments. Includes multi-agent architectures and distributed industrial decision-making.

7.4. Human-centered & trustworthy AI | Joint AMEST–IMS

AI approaches are designed around human needs, collaboration, and oversight, while ensuring transparency, reliability, safety, and trust in industrial decisions.

7.5. Agentic & multi-agent AI | Joint AMEST–IMS

AI systems composed of autonomous or collaborative agents capable of reasoning, coordinating decisions and taking bounded actions in industrial environments.