Document Type



Causal Neuro-Symbolic AI combines the benefits of causality with Neuro-Symbolic Artificial Intelligence (NeSyAI). More specifically, it (1) enriches NeSyAI systems with explicit representations of causality, (2) integrates causal knowledge with domain knowledge, and (3) enables the use of NeSyAI techniques for causal AI tasks. The explicit causal representation yields insights that predictive models may fail to analyze from observational data. It can also assist people in decision-making scenarios where discerning the cause of an outcome is necessary to choose among various interventions.

APA Citation

Jaimini, U., Henson, C., & Sheth, A. (2024). Causal Neuro-Symbolic AI: A synergy between Causality and Neuro-Symbolic methods. IEEE Intelligent Systems, 39(2).

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