SEARCH

SEARCH BY CITATION

References

  • Anderson, J. R. (1990). The adaptive character of thought. Hillsdale, New Jersey: L. Erlbaum.
  • Anshakov, O., & Gergely, T. (2010). Cognitive reasoning: A formal approach. Berlin: Springer.
  • Berger, J. (1985). Statistical decision theory and Bayesian analysis. Berlin: Springer.
  • Carlucci, L., Case, J., Jain, S., & Stephan, F. (2007). Results on memory-limited U-shaped learning. Information and Computation, 205(10), 15511573.
  • Carnap, R. (1950). Logical foundations of probability. Chicago: University of Chicago Press.
  • Freedman, D. A. (1963). On the asymptotic behavior of Bayes’ estimates in the discrete case. Annals of Mathematical Statistics, 34(4), 13861403.
  • Gold, E. M. (1967). Language identification in the limit. Information and Control, 10, 447474.
  • Haussler, D., Kearns, M., & Schapire, R. E. (1994). Bounds on the sample complexity of Bayesian learning using information theory and the VC dimension. Machine Learning, 14, 83113.
  • Jaynes, E. T. (2003). Probability theory: The logic of science. Cambridge, UK: Cambridge University Press.
  • Johnson, K. (2004). Gold's theorem and cognitive science. Philosophy of Science, 71, 571592.
  • Li, M., & Vitányi, P. M. B (1993). An introduction to Kolmogorov complexity and its applications. New York: Springer-Verlag.
  • Li, M., & Vitányi, P. M. B. (2008). An introduction to Kolmogorov complexity and its applications (3rd ed.). New York: Springer.
  • Milch, B., Marthi, B., Russell, S., Sontag, D., Ong, D. L., & Kolobov, A. (2007). BLOG: Probabilistic models with unknown objects. In L. Getoor & B. Taskar (Eds.), Statistical Relational Learning (pp. 13521359). Cambridge, MA: The MIT Press.
  • Muggleton, S. (1990). Inductive Logic Programming. New Generation Computing, 8(4), 295318.
  • Solomonoff, R. J. (1964a). A formal theory of inductive inference Part I. Information and Control, 7, 122.
  • Solomonoff, R. J. (1964b). A formal theory of inductive inference Part II. Information and Control, 7, 224254.
  • Tenenbaum, J. B., & Griffiths, T. L. (2001). Generalization, similarity, and Bayesian inference. The Behavioral and Brain Sciences, 24, 629640.
  • Valiant, L. G. (1984). A theory of the learnable. Communications of the ACM, 27(11), 11341142.
  • Wexler, K., & Culicover, P. (1980). Formal principles of language acquisition. Cambridge, MA: The MIT Press.