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  • Introduction
  • Generative models
  • Conditioning
  • Causal and statistical dependence
  • Conditional dependence
  • Social cognition
  • Interlude - Bayesian data analysis
  • Interlude - Algorithms for inference
  • Rational process models
  • Learning as conditional inference
  • Learning with a language of thought
  • Hierarchical models
  • Occam's Razor
  • Mixture models
  • Learning (deep) continuous functions
  • Appendix - JavaScript basics
  • Appendix - Useful distributions

1. Natural pedagogy

@Shafto:2012by

Reading questions:

a) The model in the reading invokes a theory of mind (learners are reasoning about teachers’ mental states) but a relatively simple theory of mind (the kinds of mental states ascribed are not complex). Would this be sufficient for learning more complex ideas (like mathematics or how to tune a bicycle)? If not, what might you want to add to the learner’s theory of mind?

Extras

Extra math

Theory of Mind. For more on Theory of Mind, see @carlson:2013theory.