Dept. of Electronics and Computer Science, University of Southampton, UK
Emerging Challenge Areas for AI and Multi-Agent Systems: From Sports to Maritime
The availability of cheap sensing technologies and computing power at the edge is leading to the large scale digitalisation of many industries that, to date, have largely depended on expert humans. In this talk, I will present a number of key domains where traditional control and decision-making regimes driven by humans are being disrupted by the availability of data and the application of machine learning, multi-agent systems, and AI techniques in general. I will focus specifically on Sports, Energy, and the Maritime sectors to articulate the value that AI and Multi-Agent Systems can bring to the real world. I will also discuss new challenges that will emerge due to the use of AI in these sectors.
About the Speaker
Sarvapali (Gopal) Ramchurn is a Professor of Artificial Intelligence, Director of the Centre for Machine Intelligence, Turing Fellow, and Fellow of the Institution of Engineering and Technology. He is based in the Department of Electronics and Computer Science at the University of Southampton, where he carries out research into the design of Responsible Artificial Intelligence for real-world socio-technical applications including energy systems, disaster management, and crowdsourcing. His research involves applying techniques from Machine Learning, Data Science, and Game Theory. He has won multiple best paper awards for his research and is a winner of the AXA Research Fund Award for his work on Responsible Artificial Intelligence. He is Chief Scientist at North Star Solar Ltd. He has pioneered the development of AI-based disaster response systems using multi-UAV systems, AI-driven large-scale battery management for smart grids, and an AI bot that outperformed more than 5M human players (top 0.7%) in the English Premier League Fantasy Football Tournament. His papers have been cited more than 7000 times (according to Google scholar) and his work has featured in various media including BBC News, New Scientist, Sky News, BBC Click, and Wired. He is originally from Mauritius and is interested in promoting applications of AI in developing countries.
Department of Mathematics and Computer Science, University of Paris, France
Computational Argumentation: From Theory to Market
Computational Argumentation is an important domain in the field of Artificial Intelligence (AI). Over the last two decades there has been an increasing interest in applying argumentation to analyze and solve practical problems in the area of Artificial Intelligence. The natural link of argumentation to human reasoning makes Computational Argumentation technology an appropriate framework for applications in AI that satisfies the need for explainable AI systems.
In this talk we will present how the argumentation framework of Logic Programming with Priorities (LPP) and its associated system of GORGIAS have been integrated in a SaaS AI commercial platform, built by a recently created AI startup called Argument Theory. This facilitates commercial solutions for complex decision making problems under conflicting, incomplete and contextual knowledge in different domains such as automated compliance management, automated medical diagnosis, automated data access management, automated document analysis. It also provides a development environment to experts in different domains (traders, lawyers, etc.) for building their own customized applications without any knowledge on argumentation technology. We will also present how this framework can be used for modeling different types of multi-agent dialogues (e.g. negotiation, deliberation) in a way that can help the decision making applications.
About the speaker
Pavlos Moraitis is a Professor of Computer Science at University of Paris (France) and head of the Distributed Artificial Intelligence (DAI) research group which is member of the Laboratory of Informatics Paris Descartes (LIPADE). He has been director of LIPADE for the period 2009-2019. Before starting his academic career, he held a consulting engineer position with Capgemini, a leading software advisory company. He was scientific responsible of the work involving agent technology in several European and industrial projects and is collaborating with software (SingularLogic-Greece) and industrial (Thales-France) companies on the application of agent technology in real world applications. Since May 2019 he is co-founder and CEO of the AI startup Argument Theory (AT) supported by ERGANEO, a French investment company that specializes in disruptive innovations. His research activity concerns both theoretical and applied research in the field of Artificial Intelligence and more particularly in the area of Autonomous Agents and Multi-Agent Systems (MAS). His main research interests include: computational argumentation, automated negotiation, automated decision-making, multi-agent planning, agent oriented software engineering. He has published over than 120 technical papers in international refereed conferences and journals in the above area including prestigious ones like AAAI, KR, ECAI, AAMAS, AGENTS, ICMAS, IEEE Intelligent Systems, JAAMAS, etc. He has served the research community of MAS as elected member of the Board of Directors of the European Association for Multi-Agent Systems (EURAMAS) (2012-2018), co-founder of the International Workshop Series on “Argumentation in Multi-Agent Systems” (and co-chair of the 1st, 2nd, 5th and 12th edition of this Workshop), general chair and co-organizer of the 8th European Conference on Multi-Agent Systems (EUMAS’10) and finance chair of the 13th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS’14). He served also as program committee member in numerous international conferences and as reviewer in several international journals.