Folk Theorems for Multi-Agent Systems
Prof. Michael Wooldridge,
University of Oxford –
The Nash Folk Theorems are a collection of related results that characterise the Nash equilibria that can be sustained in repeated games. As the name suggests, the Folk Theorems are technically simple, but this simplicity belies the fact that they are of enormous significance. For example, it has been argued that they provide answers to fundamental questions relating to the structure and behaviour of human societies. In this talk, I will introduce the Folk Theorems, and then show how they can be applied in the context of multi-agent systems, to understand the equilibria that can be obtained in such systems.
I am a Professor of Computer Science in the Department of Computer Science at the University of Oxford, and a Senior Research Fellow at Hertford College. I joined Oxford on 1 June 2012; before this I was for twelve years a Professor of Computer Science at the University of Liverpool. In October 2011, I was awarded a 5-year ERC Advanced Grant, entitled “Reasoning About Computational Economies” (RACE).
I am a AAAI Fellow, an ECCAI Fellow, an AISB Fellow, and a BCS Fellow. In 2006, I was the recipient of the ACM Autonomous Agents Research Award. In 1997, I founded AgentLink, the EC-funded European Network of Excellence in the area of agent-based computing. I was program chair for the 19th European Conference on Artificial Intelligence (ECAI-2010), held in Lisbon, Portugal, in August 2010. I will be General Chair for the 24th International Joint Conference on Artificial Intelligence (IJCAI-2015), to be held in Buenos Aires, Argentina.
Between 2003 and 2009 I was co-editor-in-chief of the Journal Autonomous Agents and Multi-Agent Systems. I am an associate editor of the Journal of Artificial Intelligence Research (JAIR) (2006-2009, 2009-2012), an associate editor of Artificial Intelligence journal (2009-2012) and serve on the editorial boards of the Journal of Applied Logic, Journal of Logic and Computation, Journal of Applied Artificial Intelligence, and Computational Intelligence.
Ana Maria Severino de Almeida e Paiva
IST @Taguspark, room 0.65
Mathematics, Physics & Machine Learning Seminar Series (Online)
The Mathematics, Physics & Machine Learning seminar series has started on October 2020 and runs until March 2021.
The seminars aim to bring together mathematicians and physicists interested in machine learning (ML) with ML and AI experts interested in mathematics and physics, with the goal of introducing innovative Mathematics and Physics-inspired techniques in Machine Learning and, reciprocally, applying Machine Learning to problems in Mathematics and Physics.
Attendance is free but registration is required.
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International European Conference on Parallel and Distributed Computing
The 27th International European Conference on Parallel and Distributed Computing (Euro-Par 2021) will take from August 30 to September 3 2021 in Lisbon.
Euro-Par is the prime European conference covering all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-fledged applications, from architecture, compiler, language and interface design and implementation, to tools, support infrastructures, and application performance aspects.
The 2021 edition of Euro-Par will be organized as a collaboration between INESC-ID and Instituto Superior Técnico (IST).
– Abstract Submission: February 5, 2021
– Paper Submission Deadline: February 12, 2021
– Author Notification: April 30, 2021
– Camera-Ready Papers: June 6, 2021
More information is available here.