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<div><p>Generalization from past experience is an important feature of intelligent systems. When faced with a new task, one efficient computational approach is to evaluate solutions to earlier tasks as candidates for reuse. Consistent with this idea, we found that human participants (<...

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Bibliographic Details
Main Author:	Sam Hall-McMaster (10343795) (author)
Other Authors:	Momchil S. Tomov (8677314) (author), Samuel J. Gershman (8677326) (author), Nicolas W. Schuck (6260720) (author)
Published:	2025
Subjects:	Neuroscience Science Policy Mental Health Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified human participants (< computational process based based control using successor representation known possible neural implementation increased behavioral reuse humans reuse strategies learned optimal solutions generalized policy improvement div >< p novel test tasks test tasks successor features neural evidence training tasks earlier tasks selective manner prefrontal cortex past experience new task n </ intelligent systems important feature gpi solutions gpi algorithm gpi ). functional connection free perseveration findings point evaluate solutions adaptive algorithm
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