TOM GRIFFITHS is the Henry R. Luce Professor of Information Technology, Consciousness and Culture, and director of the Computational Cognitive Science Lab at Princeton University.
His focus is on inductive problems, such as probabilistic reasoning, learning causal relationships, acquiring and using language, and inferring the structure of categories. He tries to analyze these aspects of human cognition by comparing human behavior to optimal or "rational" solutions to the underlying computational problems. For inductive problems, this usually means exploring how ideas from artificial intelligence, machine learning, and statistics (particularly Bayesian statistics) connect to human cognition. These interests have sometimes led him into other areas of research such asnonparametric Bayesian statistics and formal models of cultural evolution.
He is co-author (with Brian Christian) of Algorithms to Live By.
