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Integrative learning in the lens of meta-learned models of cognition: Impacts on animal and human learning outcomes.

Bin YinXi-Dan XiaoXiao-Rui WuRong Lian
Published in: The Behavioral and brain sciences (2024)
This commentary examines the synergy between meta-learned models of cognition and integrative learning in enhancing animal and human learning outcomes. It highlights three integrative learning modes - holistic integration of parts, top-down reasoning, and generalization with in-depth analysis - and their alignment with meta-learned models of cognition. This convergence promises significant advances in educational practices, artificial intelligence, and cognitive neuroscience, offering a novel perspective on learning and cognition.
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