Computational, Mathematical and Philosophical Foundations
- Berger, J. O. 1999. Statistical Decision Theory and Bayesian Analysis. Springer Verlag.
- Cormen, T. H., et al. 2001. Introduction to Algorithms, 2nd Edition. MIT Press.
- Cover, T. and J. Thomas. 1991. Elements of Information Theory. Wiley & Sons.
- Dennett, D. C. 1992. Consciousness Explained. Back Bay Books.
- Gelman, A. 2003. Bayesian Data Analysis, 2nd Edition. Chapman & Hall/CRC.
- Harris, J. 2005. Scientific Research Is a Moral Duty. Journal of Medical Ethics, Vol. 31, No. 4, pp. 242-248.
- Hastie, T., R. Tibshirani, and J. H. Friedman. 2003. The Elements of Statistical Learning. Springer.
- Haugeland, J., ed. 1997. Mind Design II: Philosophy, Psychology, Artificial Intelligence. MIT Press.
- Jaynes, E. T. and G. L. Bretthorst. 2003. Probability Theory: The Logic of Science. Cambridge University Press.
- Minsky, M. 1988. The Society of Mind. Simon & Schuster.
- Mitchell, M. 1998. An Introduction to Genetic Algorithms. MIT Press.
- Pearl, J. 2000. Causality: Models, Reasoning and Inference. Cambridge University Press.
- Pearl, J. 1988. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Elsevier.
- Russell, S. and P. Norvig. 1995. Artificial Intelligence: A Modern Approach, 2nd Edition. Prentice Hall.
- Simon, H. 1996. The Sciences of the Artificial, 3rd Edition. MIT Press.
- Vitanyi, P. and M. Li. 1997. An Introduction to Kolmogorov Complexity and Its Applications, 2nd Edition. Springer.