Probabilistic models of cognition: conceptual foundations.

@article{Chater2006ProbabilisticMO,
  title={Probabilistic models of cognition: conceptual foundations.},
  author={Nick Chater and Joshua B. Tenenbaum and Alan Yuille},
  journal={Trends in cognitive sciences},
  year={2006},
  volume={10 7},
  pages={287-91}
}
Remarkable progress in the mathematics and computer science of probability has led to a revolution in the scope of probabilistic models. In particular, 'sophisticated' probabilistic methods apply to structured relational systems such as graphs and grammars, of immediate relevance to the cognitive sciences. This Special Issue outlines progress in this rapidly developing field, which provides a potentially unifying perspective across a wide range of domains and levels of explanation. Here, we… CONTINUE READING