Literature
Wikipedia
genetic algorithms
Karl Sims (1994) Evolving Virtual Creatures
Sutton/Barto: Reinforcement Learning: An Introduction, MIT
Press,free
web version
Andrieu
et al. (2003) An Introduction to MCMC for Machine Learning
Neal
(1993) Probabilistic Inference Using Markov Chain Monte Carlo
Methods
Kemp,
Perfors and Tenenbaum (2007) Learning overhypotheses with
hierarchical Bayesian models
Video
lectures, Cognitive Science and Machine Learning Summer School
2010 - Sardinia
Griffiths,
T. L., & Tenenbaum, J. B. (2006). Optimal predictions in
everyday cognition. Psychological Science, 17, 767-773
Vul,
E & Pashler, H (2008) "Measuring the Crowd Within:
Probabilistic representations Within individuals" Psychological
Science. 19(7) 645-647
Vul,
E., Goodman, N.D., Griffiths, T.L. & Tenenbaum, J.B. (2009)
"One and Done? Optimal decisions from very few samples." 31st
Annual Meeting of the Cognitive Science Society, 2009.
Denison,
S., Bonawitz, E. B., Gopnik, A., & Griffiths, T. L. (in
press). Preschoolers sample from probability distributions.
Proceedings of the 32nd Annual Conference of the Cognitive
Science Society.
S.L. Gershman, Y. Niv, Learning latent structure: carving
nature at its joints. Current Opinion in Neurobiology, 2010
D.A.
Braun, C. Mehring, D.M. Wolpert, Structure learning in action,
Behavioural brain research, 2010
A
Aertsen, DM Wolpert, C Mehring, Motor task variation induces
structural learning, Current Biology, 2009
Marc Toussaint
Teaching Resources of Marc Toussaint
Lecture 2 in Lissabon (2009) Marc Toussaint