Learning models in social sciences and finance
Résumé
This issue consists of a selection of papers presented at the first meeting on Computational Methods for Modeling and Learning in Social and Human Sciences (MASHS) held in Brest (France) in 2007. The meeting was co-organized by Telecom-Bretagne, department LUSSI and the University Européenne de Bretagne, Laboratoire ICI. The MASHS meeting is devoted to computational methods in an inter disciplinary perspective. Methodologies cover all aspects of computational methods such as neural networks, genetic algorithms, agent-based modeling but also evolutionary and behavioural game theory, networks, data mining ... Applications are in the Social Sciences and recover Economics, Management, Finance, Geography and Sociology. The selection of papers in this issue is a sample of this diversity.