Bayesian Artificial Intelligence

Kevin B. Korb and Ann E. Nicholson
School of Computer Science and Software Engineering
Monash University
Clayton, Victoria 3800 Australia

This page reflects our interests and research on Bayesian methods in Artificial Intelligence, including Bayesian networks and automated causal discovery (learning Bayesian networks). The information available here will be periodically updated.


Bayesian Artificial Intelligence (2003) is our new textbook, being published by CRC Press. See our BAI book page for material supplementing the book, including illustrative source code, networks for use with problems and an updated appendix reporting Bayesian net and causal discovery tools.

Tutorial Information

This is a tutorial which we have developed for presentation of Bayesian AI methods at academic conferences and for industry. The notes are available for free. We will present the notes, with explanation, interpretation, examples and a supplementary hands-on laboratory, for a fee; please contact us for further information.



Bayesian AI honours subject information

Bayesian AI honours research projects

  • Projects offered in 2005: Korb.
  • Past projects: 1994-2007.

    The Monash Bayesian intelligent decision support (BIDS) project

    Bayesian network web resource guide

    Introductory readings on Bayesian reasoning

    Under preparation. Topics include:

    Other Links

    Email us with any queries or relevant new info:

    Last updated: Wed Mar 16 00:30:00 EST 2005