1. Overview of Bayesian computational models

Read “How to Grow a Mind: Statistics, Structure, and Abstraction” by Joshua B. Tenenbaum, Charles Kemp, Thomas L. Griffiths, and Noah D. Goodman. This provides an overview of the approach taken by many of the models we’ll be looking at.

Reading questions:

a) How do Bayesian computational models differ from other kinds of reasoning systems you may be familiar with (formal logic, algebra, connectionism, deep learning, etc.)?