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 been using probability theory to describe human cognition; specifically trying to build explanatory frameworks for how rational agents reason and make decisions in situations of uncertainty. In recent years, applications of Bayesian theory in cognitive science and artificial intelligence research have been instrumental in providing rigorous explanatory models in various cognitive domains; particularly in perception and mental representation. In this talk, Dr. Rescorla will briefly present highlights from his research in understanding how Bayesian models play a central role in mental and artificial representation and comment on some of the theories and conflicting views around levels of computational explanations in the context of artificial and natural (i.e biological) computing systems.