Next event @ UCLA - time and location (tbd)

Presenter: michael Rescorla, phd.

Bayesian models in perception and representation

For over two centuries, philosophers and mathematicians have turned to probability theory to understand human cognition—seeking to explain how rational agents reason and make decisions under uncertainty. In recent years, Bayesian theory has become a powerful tool in both cognitive science and artificial intelligence, offering precise models for a range of cognitive functions, particularly in perception and mental representation. In this talk, Dr. Rescorla will share key insights from his research on the central role of Bayesian models in both mental and artificial representation. He will also discuss current theories and debates concerning levels of computational explanation within natural (i.e., biological) and artificial systems.