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Updated: Jan 8, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
Published on: June 30, 2020
Toward a science of prospective learning
Konrad P Kording1, Joshua T Vogelstein2, Pratik Chaudhari3
1CIFAR Learning in Machines and Brains program, MaRS Centre, West Tower, 661 University Avenue, Suite 505, Toronto, ON M5G 1M1, Canada; Departments of Bioengineering and Neuroscience, University of Pennsylvania, Philadelphia, PA 19104, USA.
Abstract:
In a constantly changing world, effective intelligence means anticipating future changes. We argue that organisms adapt prospectively, modeling how environments and capabilities of the organism evolve, thus optimizing decisions for tomorrow's unpredictable world.
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