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An Introduction to Statistical Mechanics

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Cognitive Economics

Abstract

In this lecture we introduce the concepts and tools of Statistical Mechanics using the Ising model of condensed matter physics, proposed about one century ago to explain magnetism, as a paradigm. The evocative power of this model brought the techniques of Statistical Mechanics to other fields, like brain models in Cognitive Science, Machine Learning Theory, and more recently to the analysis of models in Game Theory, Economy and Sociology.

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References

  1. Balian R. From Microphysics to Macrophysics, Springer, 1992.

    Google Scholar 

  2. R. Baron et al., Chap. 16, this book.

    Google Scholar 

  3. Diu B., Guthmann C., Lederer D. and Roulet B. Eléments de physique statistique - Hermann, 1989.

    Google Scholar 

  4. S. Galam, Chap 25, this book.

    Google Scholar 

  5. J. A. Hertz, A. S. Krogh, and R. G. Palmer. Introduction to the Theory of Neural Computation, Santa Fe Books, 1991.

    Google Scholar 

  6. J. J. Hopfield. Neural networks and physical systems with emergent collective computational properties. Proc. Natl. Acad. Sci. USA 79 (1982) 2554–2588.

    Google Scholar 

  7. E. Ising, Beitrag zur Theorie des Ferromagnetismus, Zeitschrift für Physik 31 (1925) 253–258. (see the web site http://www.physik.tudresden.de/itp/members/kobe/isingconf.html for a biography and interesting informations)

    Google Scholar 

  8. E. T. Jaynes, Information Theory and Statistical Mechanics, Phys. Rev. 106 (1957) 620–630. (see web site http://bayes.wustl.edu/etj/etj.html for a biography and more informations)

    Google Scholar 

  9. E. T. Jaynes. Probability theory and maximum entropy. (on-line version at http://bayes.wustl.edu/)

    Google Scholar 

  10. S. Kirkpatrick, C. D. Gelatt and M. P. Vecchi. Science 220 (1983) 671–680.

    Article  Google Scholar 

  11. L. Landau and E. Lifchitz, Physique Statistique, Ed. MIR (1967).

    Google Scholar 

  12. S. K. Ma, Statistical Mechanics, World Scientific, 1985.

    Google Scholar 

  13. P. Peretto, An introduction to the modeling of neural networks, Cambridge University Press, Collection Alea Saclay, 1992.

    Book  Google Scholar 

  14. D. Phan, M. B. Gordon and J. P. Nadal., Chap. 20, this book.

    Google Scholar 

  15. G. Toulouse. Theory of frustration effects in spin glasses: I. Communications on Physics 2 (1977) 115–119.

    Google Scholar 

  16. G. Weisbuch and D. Stauffer, Chap. 21, this book

    Google Scholar 

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© 2004 Springer-Verlag Berlin Heidelberg

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Gordon, M.B. (2004). An Introduction to Statistical Mechanics. In: Bourgine, P., Nadal, JP. (eds) Cognitive Economics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24708-1_8

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  • DOI: https://doi.org/10.1007/978-3-540-24708-1_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-07336-6

  • Online ISBN: 978-3-540-24708-1

  • eBook Packages: Springer Book Archive

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