m O e X
evolving knowledge

We are seeking to reinforce our team. Join us!

Human beings 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. We deal with software agents and formal knowledge representation. The ambition of the mOeX project is to answer, in particular, the following questions:

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

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

This 180-seconds talk (in French with subtitles) summarises this for a wide audience.

Seminar Lucía Gómez Álvarez (TU Dresden), February 2nd, 14:00.
Standpoint Logic: Multi-Perspective Knowledge Representation

Member team of the UMR 5217
Laboratoire d'Informatique de Grenoble