What the Bayesian framework has contributed to understanding cognition: Causal learning as a case study

Behavioral and Brain Sciences 34 (4):203-204 (2011)
  Copy   BIBTEX


The field of causal learning and reasoning (largely overlooked in the target article) provides an illuminating case study of how the modern Bayesian framework has deepened theoretical understanding, resolved long-standing controversies, and guided development of new and more principled algorithmic models. This progress was guided in large part by the systematic formulation and empirical comparison of multiple alternative Bayesian models



    Upload a copy of this work     Papers currently archived: 92,150

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Combining argumentation and bayesian nets for breast cancer prognosis.Matt Williams & Jon Williamson - 2006 - Journal of Logic, Language and Information 15 (1-2):155-178.


Added to PP

28 (#571,386)

6 months
3 (#981,027)

Historical graph of downloads
How can I increase my downloads?