GTES : une méthode de simulation par jeux et apprentissage pour l'analyse des systèmes d'acteurs

DOI10.1051/ro/2009028zbMath1187.91027OpenAlexW1985058102MaRDI QIDQ3644817

Yves Caseau

Publication date: 12 November 2009

Published in: RAIRO - Operations Research (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/105445

zbMATH Keywords

game theorysimulationlearninggenetic algorithmsenterprise organization

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Learning and adaptive systems in artificial intelligence (68T05) Applications of game theory (91A80) Approximation methods and heuristics in mathematical programming (90C59) Rationality and learning in game theory (91A26)

Related Items (1)

Tree structure for distributive lattices and its applications

Uses Software

• OPEN DESIRE

Cites Work

• Advances in dynamic game theory. Numerical methods, algorithms, and applications to ecology and economics. Most of the papers based on the presentations at the 11th international symposium on dynamics games and application, Tucson, AZ, USA, December 2004.
• Algorithmic Game Theory
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