Neurosymbolic AI combines statistical and analytic models.
It enables robust, data-driven models for sub-symbolic parts.
Neurosymbolic models allow for explicit compositional modeling.
Challenges include defining provable generalization properties.
Neurosymbolic AI seeks to integrate rich symbolic representations.
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