Uncertainty propagation in multi-agent systems for multidisciplinary optimization problems

Autor: Jaeger, Laure, Jorquera, Tom, Lemouzy, Sylvain, Gogu, Christian, Segonds, Stéphane, Bes, Christian

International audience; Because of uncertainties on models and variables, deterministic multidisciplinary optimization may achieve under-sizing (without design margins) or over-sizing (with arbitrary design margins). Thus, it is necessary to implemen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::dfa071811c4b61cc92c99162270e1187
https://oatao.univ-toulouse.fr/14285/

Living Design: Simulation for Self-Designing Agents (ESM 2007)

Autor: Lemouzy, Sylvain, Bernon, Carole, Gleizes, Marie-Pierre

Today’s challenge is to design complex systems that operate within evolving environments. Multi-agent systems and self-organisation are an answer to implement such systems. However few tools are provided to designers for helping them to build or im

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______166::3be70376f5c5633dc3d90396db9304ee
https://hal.science/hal-03800718

Principles and Properties of a MAS Learning Algorithm.

Autor: Lemouzy, Sylvain, Camps, Valerie, Glize, Pierre

Publikováno v: Proceedings of the 2011 IEEE Wic ACM International Conferences on Web Intelligence & Intelligent Agent Technology; 8/22/2011, Vol. 02, p228-235, 8p