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Learning Models in Social Sciences and Finance. Editorial

Author

Listed:
  • Waldeck, Roger

    (Institut Mines-Telecom, ENST Bretagne)

Abstract

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 MASHS meeting is devoted to computational methods in an interdisciplinary perspective. Methodologies cover all aspects of computational methods such as neural networks, genetic algorithms, agent-based modeling but alsoevolutionary 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. The invited speakers of the 2007 conference were from different fields: Mirta Gordon (physics), Alan Kirman (economics), Akira Namatame (computer sciences) and Lena Sanders (geography). All, in some respects, view the social system as a complex system which requires new tools for analysis.

Suggested Citation

  • Waldeck, Roger, 2009. "Learning Models in Social Sciences and Finance. Editorial," European Journal of Economic and Social Systems, Lavoisier, vol. 22(1), pages 7-9.
    • Handle: RePEc:ris:ejessy:0058
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    More about this item

    Keywords

    Learning Models; Social Sciences; Finance;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications

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