Cedric Perret

Enhanced Associate

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My current research interest is to understand how to create multi-agent systems with sustainable cooperation, even between a large number of self-interested agents. To do so, I look at the only biological system to have reached this goal, the Human society and especially the first large and complex one. I am particularly interested at two main features of such systems: institutions (set of rules established by the agents) used to maintain cooperation and leadership used to maintain efficiency. Then, my main research question is why and how institution and leadership have evolved? 

To find the mechanisms involved, I model populations of evolving agents playing economic games and simulate the emergence of the institutions and leadership. The models are based on evolutionary theory and game theory, uses evidences from human sciences and lead to applications in artificial life and multi-agent systems. Reflecting these aspects, I am strongly interested by interdisciplinary knowledge and projects.

I also have as side projects the extension of such models to real-world with evolutionary robotics and gathering data on cooperation using online system.

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Areas of Expertise link icon

  • Bio-inspired Computing
    The Bio-Inspired Algorithms group within the Centre for Algorithms, Visualisation and Evolving Systems is a large and thriving group with interests in nature-inspired computing that include Evolutionary Computing, Hyper-Heuristics, Artificial Immune Systems and Swarm Intelligence.
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