Presented By: Weinberg Institute for Cognitive Science
Cognitive Science Seminar: Extending a task-general computational model of procedural learning
Bryan Stearns, U-M
Bryan Stearns will give a talk titled "Extending a task-general computational model of procedural learning."
Please visit the seminar series website for Zoom link and details.
ABSTRACT
Can we understand human generality and learning well enough to make computer systems that learn the way we learn? Many models exist that help us describe various aspects of human learning or let us evaluate competing theories. It is harder to find models that specify processing at a level that is detailed enough to allow a computer system to actually perform human-like learning. This talk presents some of my thesis work that extends a model of human procedural learning to have more specific computational detail. In the process, I also extend the model by discovering connections with prior theoretical work in human skill acquisition and some neuroscience.
Please visit the seminar series website for Zoom link and details.
ABSTRACT
Can we understand human generality and learning well enough to make computer systems that learn the way we learn? Many models exist that help us describe various aspects of human learning or let us evaluate competing theories. It is harder to find models that specify processing at a level that is detailed enough to allow a computer system to actually perform human-like learning. This talk presents some of my thesis work that extends a model of human procedural learning to have more specific computational detail. In the process, I also extend the model by discovering connections with prior theoretical work in human skill acquisition and some neuroscience.
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