Skip to main content

MOEX - Evolving knowledge

Joint research project-team INRIA and CNRS, Grenoble INP, UGA
Area Intelligent Systems for Bridging Data, Knowledge and Humans

Human being are apparently able to communicate knowledge. However, it is impossible for us to know if we share the same representation of knowledge.

mOeX addresses the evolution of knowledge representations in individuals and populations. The ambition of the mOeX project is to answer, in particular, the following questions:

  • how do agent populations adapt their knowledge representation to their environment and to other populations?
  • how must this knowledge evolve when the environment changes and new populations are encountered?
  • how can agents preserve knowledge diversity and is this diversity beneficial?

We will study them chiefly in a well-controlled computer science context.

For that purpose, we combine knowledge representation and cultural evolution methods. The former provides formal models of knowledge; the latter provides a well-defined framework for studying situated evolution.

We will consider knowledge as a culture and study the properties of adaptation operators applied by populations of agents by jointly:

  • experimentally testing the properties of adaptation operators in various situations using experimental cultural evolution, and
  • theoretically determining such properties by modelling how operators shape knowledge representation

We aim at acquiring a precise understanding of knowledge evolution through the consideration of a wide range of situations, representations and adaptation operators.


Artificial Intelligence    Knowledge representation    Cultural evolution


Leader  Jérôme Euzenat
Phone 04 76 61 53 66
Building  Montbonnot - INRIA

Submitted on March 5, 2024

Updated on March 5, 2024