Biography

I am a Professor of Computer Science in the Department of Mathematics and Computer Science at Université Paris Cité (France). I was director of the Laboratory of Informatics Paris Descartes (LIPADE) from 2009 to 2019, and I currently head the Distributed Artificial Intelligence Group and direct the Distributed Artificial Intelligence (DAI) master's degree.

My academic background includes a Diploma in Engineering from the National Technical University of Athens (NTUA), an M.Sc. in Computer Science, a Ph.D. in Artificial Intelligence, and a Habilitation à Diriger des Recherches in Artificial Intelligence — the latter three from Paris Dauphine University. Before entering academia I held a consulting-engineer position at Capgemini.

I have been scientific lead on the agent-technology workstreams of several European and industrial projects, collaborating for years with software and industrial companies on the application of agent technology to real-world problems. Since May 2019 I am co-founder and CEO of the AI startup Argument Theory, backed by Erganeo, a French investment company specialised in disruptive innovations.

Argument Theory offers the rAIson platform — a no-code neuro-symbolic AI development environment for modelling and deploying automated decision-making agents. The platform is grounded in computational argumentation encoded into propositional satisfiability (SAT), an approach to symbolic AI with reasoning and behavioural capabilities close to human deliberation. Argument Theory will open the rAIson platform to the public soon via AWS Marketplace.

I am co-founder of the International Workshop Series on Argumentation in Multi-Agent Systems (co-chair of the 1st, 2nd, 5th and 12th editions), general chair and co-organiser 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). I have served on numerous international programme committees and as a reviewer for several international journals.

Research

My research concerns both theoretical and applied work in artificial intelligence, more specifically intelligent agents and multi-agent systems. Current interests include computational argumentation, automated negotiation, and automated decision-making — both single-agent and distributed.

• Computational argumentation
• Multi-agent systems
• Automated negotiation
• Automated decision-making
• Neuro-symbolic AI

Recent work

My recent work integrates generative AI and LLMs with computational argumentation encoded into propositional satisfiability (SAT), producing a neuro-symbolic AI approach. This approach enables the rapid (in a few minutes) no-code development of reliable, explainable and auditable autonomous agents and multi-agent systems directly from textual or tabular data — particularly well suited to high-stakes domains such as health, law, finance, and defense. It will soon be deployed on the rAIson platform.