L'usage croissant de la simulation multi-agents pour modéliser des systèmes pourvoyeurs de grandes quantités de données, suppose l'identification automatique des paramètres pertinents ou l'extraction de connaissances à partir des données réelles, faute de quoi la fiabilité des...

Aims to give a view of the scientific production in the fields of Agent-based Computational Economics, mainly in Market Finance and Game Theory. Based on communications given at AE'2005 (Lille, USTL, France), this book offers a panorama of advances in ACE, both theoretical and methodological...

The Efficient Market Hypothesis (EMH) is one of the most investigated questions in Finance. Nevertheless, it is still a puzzle, despite the enormous amount of research it has provoked. For instance, it is still discussed that market cannot be outperformed in the long run (Detry and Gregoire,...

Resource reallocation problems are common in real life and therefore gain an increasing interest in Computer Science and Economics. Such problems consider agents living in a society and negotiating their resources with each other in order to improve the welfare of the population. In many studies...

In this paper, the integration of a solid oxide fuel cell operating at a very high temperature (900–1000 °C, 55–60% efficiency) in a near-zero emission power cycle is presented. A more efficient and powerful hybrid near-zero emission CO2/O2 cycle is obtained with a CO2 release as small as 6...

Since the first multi-agents based market simulations in the nineties, many different artificial stock market models have been developped. There are mainly used to reproduce and understand real markets statistical properties such as fat tails, volatility clustering and positive auto-correlation...