Peter Dayan, "Betwixt Fast and Slow: Integrating Model-Free and Model-Based Decision Making"

April 27, 2017 - 6:00pm - 7:30pm
330 Uris Hall New York, NY 10027
United States

Behavioural and neural evidence reveals a retrospective, model-free or habitual process that caches returns previously garnered from available choices, and a prospective, model-based or goal-directed one that putatively relies on mental simulation of the environment. There is much current interest in understanding how these faster and slower systems are integrated to take advantage of the beneficial computational properties of each. I will discuss current theoretical and experimental approaches on the resulting architecture of choice, and note some pressing concerns.