CĂ©dric BURON
Welcome on my personal site! I'm Assistant Professor in Artificial Intelligence and multi agent systems, currently working @ISEN
Who am I?
Passionate about Computer Science and its applications, I got my MSc in Computer Science and Engineering from the National Chiao Tung University (Taiwan) in 2013. My Master thesis dealt with the issue of applying various Monte-Carlo based algorithm to an imperfect information variant of the Go Game. I then got an Engineer degree from Telecom SudParis in 2014. I finally got my PhD in Computer Science from Sorbonne Université in the domain of Multi-Agent Systems applied to Economy.
During my PhD, my main research focused on Game Theory, more precisely mechanism design applied to negotiation and bargaining and heuristics applied to games. In this domain, I have worked on Monte Carlo algorithms applied to imperfect information games and negotiation. My research also focused on application of machine learning to economy, to predict the financial value of a fund on the one hand, and to predict future proposals of an partner in a negotiation in the other hand. I took part of the development of an autonomous invoice marketplace in a FUI project.
I joined Thales as engineer-researcher in 2019 in the domain of Decision making. I worked on Multi-Criteria Decision Aid and Multi-agent coordination. I also contributed to the Actu IA website and taught at ENSTA ParisTech.
I joined ISEN in 2022 as an Assistant Professor in the domain of Computer science (for teaching) and Multi-agent systems (regarding research).
Interests
My research focuses mainly on the following topics:
Multi-agent systems
Multi-Agent systems are the study of interaction between multiple artificial entities called agents. They are used both for simulation and decision, in competitive and cooperative domains.
Muti-criteria decision aid
Multi-criteria decision aid is the domain concerned with the design of models evaluating decisions with regards to multiple conflicting criteria.
Games
I have been working both on Game Theory, which describes formally games, and more sepcifically on icentives in games. I've also been working on AI techniques to actually play games.
Beyond these topics, I'm also interested on other related or unrelated topics including:
Epistemology
I'm interested in epistemology in its narrow (and actually French) acceptation, i.e. the philosophy of scientific knowledge, how science (or sciences) work, what is a science, how they progress etc.
Philosophy of AI
Philosophy of AI is interested in all the topics related to AI that do not fall under science or technology domain, for instance the possibility of a strong AI, the questions related to the knowledge we get from it.
Current position
Assistant professor in computer science
I am working within the KLaIM team in L@bISEN.
My field of area is multi-agent system (MAS). I'm currently working on MAS applications for decision, but I'm planning to work on simulation applications too.
My teaching activities mainly include algorithmics, programming in python, Java and C.
My technical works are related either to multiagent systems, multi-criteria decision aid and statistical model interpretation.