Intelligent Testing with Interpretable and High-Capacity Agents by Embedding Logical Structure in Neural Architectures
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Partner University Investigators
- Necmiye Ozay [Michigan]
- Sanjit Seshia [Berkeley]
Building on recent success in developing a differentiable temporal logic, this project seeks to bridge the gap between current deep learning approaches and classical, logic-based AI. This work represents a unique take into the burgeoning trend in neurosymbolic AI.