Thursday, 24 November 2022 3:00 PM CET (9:00 AM EST)

by Professor Massimiliano Pirani (Marche Polytechnic University, Ancona, Italy)

Massimiliano Pirani photo

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Research and practice on multi-agent systems (MAS) in industry is a long-lasting and thriving thread. During last three decades, many frameworks, examples, reference architectures, and solutions concerning MAS had been able to inspire directions for the current powerful and widespread approaches in cyber-physical systems.
MAS paradigms are undoubtedly a major conveyor of artificial intelligence in industrial processes, and are going to materialize autonomic computation concepts into field practice.
However, the road for MAS towards the autonomic computation goals is still arduous. Thorough efforts recently led to the discover of consistent practices for industrial agents based on best available technologies, and at the same time shed light on the limitations that still today mostly depend on difficulties on interoperability, trustability, and scalability in the real field. Design, deployment, and commitment of such engineering systems in increasingly complex and demanding scenarios are still open challenges
The RMAS (Relational-Model multi-agent system) architecture is proposed as a support for the new challenges that the MAS research and practitioners’ community has to face. RMAS aims to harness the autonomic applications realm, with grounding them in the rich but rock-solid IEC 61499 standard provisions.

Presenters’ bio:

Massimiliano Pirani is assistant professor at the department of information engineering (DII) of Marche Polytechnic University (Ancona, Italy). He received the Master and Ph.D. degrees in electronics engineering from the same university. His initial research interests included identification of nonlinear systems, higher order statistics, nonlinear signal processing, neural networks, audio electronics, speech processing, loudspeaker systems enhancement. His research currently involves Cybernetics, holonic multiagent systems, intelligent manufacturing systems, cyber-physical systems of systems, control theory, extended artificial intelligence, and computer science. From 2004 to 2015 he worked as a computer science researcher, research manager and head of software departments in industrial and consumer electronics sectors. He was mainly involved in artificial intelligence, smart control technology, networking and Web technologies applied to bioprocessess, industrial systems automation and smart home. He is a research, innovation manager and development consultant in embedded electronics systems, Industrial IoT, intelligent control, and distributed computing.
Dr. Pirani is a member of the IEEE IES Technical Committee on Industrial Agents of the IEEE IES Technical Committee on Technology Ethics and Society. He has contributed to the developments of the IEEE Standard 2660.1 TM 2020: IEEE Recommended Practice for Industrial Agents.
A list of his publications can be found at