Causal learning and reasoning are fundamental cognitive skills that emerge early in childhood. These processes enable young learners to decipher the relationships between events, actions and outcomes, ...

Real-world adverse events are rarely monocausal. They emerge from the interaction of drug exposure, comorbid conditions, physiological states, concomitant medications, and patient-specific ...

With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

AI’s predictive power is transformative, but its lack of explainability, contextual understanding, and causal reasoning ...

The Cyber Defense Review, Vol. 6, No. 4, Responding to Proxy Cyber Operations Under International Law (FALL 2021), pp. 95-115 (21 pages) In the field of Artificial Intelligence (AI), Machine Learning ...

To build truly intelligent machines, teach them cause and effect. The formal modeling and logic to support seemingly fundamental causal reasoning has been lacking in data science and AI, a need Pearl ...