3rd May, 2021, 13h30 – 16h30 (London Time)

Join us at: https://underline.io/events/116/sessions?eventSessionId=3381


Agents are quickly evolving from purely theoretical concepts to large scale fully deployed systems. Multi-agent systems are being developed and successfully applied in multiple fields; not only enabling distributed reasoning but also facilitating the interaction with physical resources, namely sensing, metering, communication, and control devices and systems. In this way, agent-based machine-to-machine solutions are supporting the interaction between multiple devices, thus supporting information and physical resources’ management and control. Handling the large volume of information requires high-level abstractions to be able to provide information and semantic services that pave the path for the emergence context aware Internet of Things applications. In this way, enabling information storage, semantic aware reasoning and intelligent analysis, which enhance the decision-making process and lead to intelligent applied solutions that tackle the challenges of information energy management, enhanced automation and connectivity. This tutorial is delivered by a team of tutors that bring their experience in the development and application of agent-based solutions in cyber-physical systems. The addressed topics include the synergy between purely software-based agents and hardware agents; the issues related to the communications and interpretation of information between these agents; and the decision making process.


Tiago PintoWelcome and introduction10 minutes
Zita ValeAgent-based simulation and emulation30 minutesLink
Phuong NguyenCyber-Physical agent-based applications30 minutesLink
Tiago PintoAgent-based machine learning30 minutesLink
Short break10 minutes
Luis GomesAgent based automation and control30 minutesLink
Gabriel SantosSemantic approaches for agent communication30 minutesLink
Zita ValeWrap up and concluding remarks10 minutes


Tiago Pinto received the B.Sc. and M.Sc. degrees from the Polytechnic Institute of Porto, Porto, Portugal, in 2008 and 2011, and the Ph.D. degree from the Universi-ty of Trás os-Montes e Alto Douro, Vila Real, Portugal, in 2016. He is also an invited Assistant Professor at the School of Engineering of the Polytechnic of Porto and Researcher with the GECAD research group, Polytechnic of Porto, Portugal. Tiago Pinto works in the area of Arti-ficial Intelligence (AI), with special interest in the fields of multi-agent systems, adaptive machine learning and automated negotiation. He has been working in the ap-plication of AI techniques to the study of electricity markets since 2008, specifically in the decision support of negotiating agents.
Zita Vale (S’86–M’93–SM’10) received the diploma degree in electrical engineering and the Ph.D. degree, both from the University of Porto, Porto, Portugal, in 1986 and 1993, respectively. She is currently a Full Professor in the Polytechnic of Porto, Porto, Portugal. She has been working in the application of Artificial Intelligence techniques to Power Systems since 1988. She has been involved in several projects involving the development and use of Knowledge-Based systems, Multi-Agent systems, Genetic Algorithms, Neural net-works, Particle Swarm Intelligence, Constraint Logic Programming and Data Mining.

Phuong Nguyen is an assistant professor with the re-search group Electrical Energy Systems at the TU/e department of Electrical Engineering. His research inter-ests include applications of ICT in smart energy systems, distributed state estimation, control and operation of the power system, distributed and computational intelli-gence, and applications in the future power delivery system. He is a founder of the digital Power & Energy Systems lab (digi-PES) which aims to enable an energy transition from micro energy grids towards the future integrated energy system. This laboratory environment is a cyber-physical ecosystem for students and researchers to explore innovations in various energy-related aspects of (but not limited to) nano/micro-grids, local energy communities, local flexibility/energy markets, optimal power/energy flow, and congestion management. Hand-in-hand with emerging (big) data and Internet-of-Things (IoT) domains, such research provides a foundation for comprehensive data-driven and inter-dependency models of energy system integration

Gabriel Santos received the bachelor and M.Sc. degrees in informatics from the Polytechnic Institute of Porto, Porto, Portugal. He is currently pursuing the Ph.D. de-gree at the University of Salamanca, Salamanca, Spain. He is also a Researcher with GECAD, Polytechnic Insti-tute of Porto, Porto, Portugal. His research experience and interests include multi-agent systems, ontologies, electricity market negotiations, decision support sys-tems, and smart energy grids.

Luis Gomes graduated in Computer Science Engineering in 2009 and in 2013 he received the MSc degree in Knowledge and Decision Technologies, both from the ISEP/IPP. He is currently pursuing the Ph.D. degree at the University of Salamanca, Salamanca, Spain. He has published 30 papers and has been involved in 13 R&D projects. Main skills are related to the application of multi-agent systems for cyber-physical systems; optimi-zation and artificial intelligence techniques. He won 2 national and 2 international awards in the following competitions: 3th place in Prémio REN 2014; European Satellite Navigation Competition – Regional Prize of Portugal of 2013; European Satellite Navigation Compe-tition – University Challenge 2013; and European Satel-lite Navigation Competition – University Challenge 2012