Table of Contents
Advances in Artificial Intelligence
Volume 2010 (2010), Article ID 521606, 12 pages
Research Article

Application of Game Theory to Neuronal Networks

1School of Computing and Mathematics, Faculty of Computing and Engineering, University of Ulster, Shore Road, Newtownabbey, Co. Antrim BT37 0QB, Northern Ireland
2Laboratory for Dynamics of Emergent Intelligence, RIKEN Brain Science Institute, Wako-shi, Saitama 351-0198, Japan

Received 28 August 2009; Accepted 2 October 2009

Academic Editor: Naoyuki Sato

Copyright © 2010 Alfons Schuster and Yoko Yamaguchi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. London and M. Häusser, “Dendritic computation,” Annual Review of Neuroscience, vol. 28, pp. 503–532, 2005. View at Publisher · View at Google Scholar · View at Scopus
  2. F. Krüger, J. Grafman, and K. McCabe, “Neural correlates of economic game playing,” Philosophical Transactions of the Royal Society B, vol. 363, no. 1511, pp. 3859–3874, 2008. View at Google Scholar
  3. D. Purves, G. J. Augustine, D. Fitzpatrick et al., Neuroscience, Sinauer, Sunderland, Mass, USA, 3rd edition, 2004.
  4. K. Mehrotra, C. Mohan, and S. Ranka, Elements of Artificial Neural Networks, MIT Press, Cambridge, UK, 1997.
  5. M. A. Nowak and K. Sigmund, “Evolutionary dynamics of biological games,” Science, vol. 303, no. 5659, pp. 793–799, 2004. View at Publisher · View at Google Scholar · View at Scopus
  6. T. Saigusa, A. Tero, T. Nakagaki, and Y. Kuramoto, “Amoebae anticipate periodic events,” Physical Review Letters, vol. 100, no. 1, Article ID 018101, 4 pages, 2008. View at Publisher · View at Google Scholar
  7. I. Tagkopoulos, Y.-C. Liu, and S. Tavazoie, “Predictive behavior within microbial genetic networks,” Science, vol. 320, no. 5881, pp. 1313–1317, 2008. View at Publisher · View at Google Scholar
  8. D. Strukov, G. Snider, D. Stewart, and R. Williams, “The missing memristor found,” Nature, vol. 453, no. 7191, pp. 80–83, 2008. View at Publisher · View at Google Scholar · View at Scopus
  9. Y. Pershin, S. La Fontaine, and M. Di Ventra, “Memristive model of amoeba's learning,” Physical Review E, vol. 80, no. 2, 6 pages, 2009. View at Publisher · View at Google Scholar
  10. R. Gibbons, A Primer in Game Theory, Financial Times Prentice-Hall, Upper Saddle River, NJ, USA, 1992.
  11. A. N. Hampton, P. Bossaerts, and J. P. O'Doherty, “Neural correlates of mentalizing-related computations during strategic interactions in humans,” Proceedings of the National Academy of Sciences of the United States of America, vol. 105, no. 18, pp. 6741–6746, 2008. View at Google Scholar
  12. T. J. Shors, “Saving new brain cells,” Scientific American, vol. 300, no. 3, pp. 41–48, 2009. View at Google Scholar
  13. A. G. Sanfey, G. Loewenstein, J. D. Cohen, and S. M. McClure, “Neuroeconomics: cross-currents in research on decision-making,” Trends in Cognitive Sciences, vol. 10, no. 3, pp. 108–116, 2006. View at Publisher · View at Google Scholar · View at Scopus
  14. K. Körding, “Decision theory: what “should” the nervous system do?” Science, vol. 318, no. 5850, pp. 606–610, 2007. View at Google Scholar
  15. A. G. Sanfey, “Social decision-making: insights from game theory and neuroscience,” Science, vol. 318, no. 5850, pp. 598–602, 2007. View at Google Scholar
  16. M. Van't Wout, R. S. Kahn, A. G. Sanfey, and A. Aleman, “Affective state and decision-making in the ultimatum game,” Experimental Brain Research, vol. 169, pp. 564–568, 2006. View at Google Scholar
  17. M. Tennenholtz, “Game theory and artificial intelligence,” in Foundations and Applications of Multi-Agent Systems, M. d'Inverno, M. Luck, M. Fisher, and C. Preist, Eds., vol. 2403 of Lecture Notes in Computer Science, pp. 34–52, Springer, Berlin, Germany, 2002. View at Google Scholar