Dr. Jones's research spans human cognition and artificial intelligence. He develops mathematical and computational models of human learning, knowledge representation, reasoning and decision making. These models are tested and informed by behavioral data collected in his lab. He also work in theoretical machine learning, developing new methods for training neural networks especially in nonstationary environments. The two lines of research inform each other: Advances in artificial intelligence inspire new theories of how the brain processes information, and principles of human cognition offer new tools for conferring human-like intelligence to artificial systems.
