Invited Talks


Planned plenary speakers include Prof. Manuela M. Veloso (J.P. Morgan), Prof. Michael Luck (KCL), President Hideyuki Nakashima (SCU), and Associate Prof. Fujio Toriumi (UT).


Manuela M. Veloso

Towards a Lasting Human-AI Interaction

Artificial intelligence, including extensive data processing, decision making and execution, and learning from experience, offers new challenges for an effective human-AI interaction. This talk delves into multiple roles humans can have in such interaction, as well as the underlying challenges to AI in particular in terms of collaboration and interpretability. The presentation is grounded within the context of autonomous mobile service robots, and applications to other areas.

Manuela M. Veloso is the Head of J.P. Morgan AI Research, which pursues fundamental research in areas of core relevance to financial services, including data mining and cryptography, machine learning, explainability, and human-AI interaction. J.P. Morgan AI Research partners with applied data analytics teams across the firm as well as with leading academic institutions globally. Professor Veloso is on leave from Carnegie Mellon University as the Herbert A. Simon University Professor in the School of Computer Science, and the past Head of the Machine Learning Department. With her students, she had led research in AI, with a focus on robotics and machine learning, having concretely researched and developed a variety of autonomous robots, including teams of soccer robots, and mobile service robots. Her robot soccer teams have been RoboCup world champions several times, and the CoBot mobile robots have autonomously navigated for more than 1,000km in university buildings. Professor Veloso is the Past President of AAAI, (the Association for the Advancement of Artificial Intelligence), and the co-founder, Trustee, and Past President of RoboCup. Professor Veloso has been recognized with a multiple honors, including being a Fellow of the ACM, IEEE, AAAS, and AAAI. She is the recipient of several best paper awards, the Einstein Chair of the Chinese Academy of Science, the ACM/SIGART Autonomous Agents Research Award, an NSF Career Award, and the Allen Newell Medal for Excellence in Research. See www.cs.cmu.edu/~mmv/Veloso.html for her scientific publications.


Michael Luck

Safe and Trusted Agent Systems

Autonomous systems are increasingly prevalent or proposed, with the potential to fundamentally change many aspects of our lives, yet serious concerns remain about whether they can be considered safe or trusted. Indeed, there is evidence in several domains that such systems may be unsafe because of a lack of assurance over behaviour. Even in areas where underpinning technologies operate to high levels of correctness, there remain challenges: decisions are often not explained to users, do not always appear to adhere to social norms and conventions, can be distorted by bias in their data or algorithms and, at times, cannot even be understood by their engineers. It is clear that for wide adoption we must focus on developing systems that are safe (meaning we can provide guarantees about their behaviour) and trusted (meaning we can have confidence in the decisions they make and the reasons for making them). In this talk I will characterise some of the challenges, and outline some of the opportunities to address these challenges that arise from work in multi-agent systems, providing a familiar and common basis for managing interaction.

Michael Luck is Professor of Computer Science and Executive Dean of the Faculty of Natural and Mathematical Sciences at King's College London. At King’s Michael leads on driving significant growth in several areas within science and technology, having already seen through massive change in recent years. Prior to becoming Dean, he was Head of the Department of Informatics from 2011 to 2013, where he also works in the Agents and Intelligent Systems group, undertaking research into agent technologies and artificial intelligence. He is Scientific Advisor to the Board for Aerogility. Michael has published over 300 articles in these and related areas, and twelve books (including monographs, textbooks, and edited collections). He is co Editor-in-Chief of Autonomous Agents and Multi-Agent Systems, the premier agents journal. From 2000 through 2006, Michael was based in the School of Electronics and Computer Science at the University of Southampton, and from 1993 until 2000 in the Department of Computer Science at the University of Warwick. He studied in the departments of Computer Science at University College London and the University of Illinois at Urbana-Champaign.


Hideyuki Nakashima

Challenges and Obstacles for MaaS

We used MA simulation to design a future Urban mobility. If we integrate all public transportations within a city, we can get the best mobility. A good mobility platform also serves as a base for other services. Our definition of MaaS is that mobility is a basic service for other services that require physical transportation, just as the Internet is a basic service for other information oriented services. However, there are societal obstacles toward implementation of MaaS. I will point out some of them.

Hideyuki Nakashima is President of Sapporo City University. He received his Ph. D. in Information Engineering at the University of Tokyo in 1983, and joined ETL (Electrotechnical Laboratories). From 2001 to 2004, he was the director of Cyber Assist Research Center of AIST (National Institute of Advanced Institute for Industrial Science and Technology). From 2004 to 2016, he served as the president of Future University Hakodate (currently a President Emeritus). From 2016 to 2018, he was a Project Professor for Chair for Frontier AI Education, The University of Tokyo. From 2018 he is in the current position.


Fujio Toriumi

AI Wolf Project -Agent for a lie, detection, and trust-

The development of agents that can play a game with humans has been one of the main benchmarks in the AI field for researching intelligence and its requirements. In the field of complete-information games, such as Chess or Go, AI completely defeated a human. Therefore, as the next step, it must be focused on incomplete-information games. We focused on the game "Are You a Werewolf?" or "Mafia" which are communication games that require several AI technologies such as multi-agent coordination, intentional reading, and understanding of the theory of mind. In the presentation, I will introduce the researches on the AI Wolf and the competition of the AI Wolf.

Fujio Toriumi is an Associate Professor of Graduate School of Engineering, The University of Tokyo. He received his Ph.D degree from Tokyo Institute of Technology, Japan in 2004. His research interests are Computational Social Science and AI technologies for Society. He is a board member of Japan Institute of Law and Information Systems. He is a member of the Institute of Electronics, Information and Communication Engineers of Japan, The Japanese Society for Artificial Intelligence, Information Processing Society of Japan and The Society of Instrument and Control Engineers.