University of Cambridge > Talks.cam > Inference Group > Bayesian Inductive Programming

Bayesian Inductive Programming

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact David MacKay.

Inductive programming refers to the use of inference to automate the process of writing computer programs. I’ll explain how this can be done effectively, and demonstrate a working inductive programming system. I’ll also discuss how the use of abstraction as a means for controlling complexity can allow inductive programming to scale up to large problems. Finally, I’ll talk about how these techniques look to provide an exciting new avenue by which to approach the problem of intelligent agent design.

This talk is part of the Inference Group series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2020 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity