The two most important types of logic on the LSAT are conditional and causal reasoning. Conditional reasoning may be dressed up in various guises, but can be essentially reduced to if-then statements.

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 ...

SEATTLE, October 29, 2025--(BUSINESS WIRE)--Causely, the only AI SRE using a structured causal graph to enable deterministic automation, now leverages Google’s Gemini models to enhance how users ...

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 ...

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, ...

Artificial intelligence is advancing rapidly, yet improving its reasoning capabilities remains a significant challenge. Researchers from the University of Pennsylvania, Microsoft Research, AMD, and ...

Imagine hearing a distant roll of thunder and wondering what caused it. Even asking that question is a sign that you, like all humans, can perform a type of sophisticated thinking known as "causal ...