Test-takers must understand causal arguments and how to distinguish them from statements of conditional logic.

Causal reasoning appears frequently in the reading comprehension and logical reasoning sections. Rather than if-then, it is composed of cause-effect statements. Examples include: ...

Humans have a superpower that makes us uniquely capable of controlling the world: our ability to understand cause and effect ...

The worst ones are implicated in the fallacies discussed below. This, is obviously a terrible principle, but something like it is implied in primitive causal reasoning. Suppose you are furious with ...

Bayesian networks (BNs) are causal probabilistic models that combine data and expert knowledge to quantify ... We also recently exposed flaws in the legal reasoning central to the successful appeal of ...

Imagine being a scientist developing a new drug. You test it on over 1,000,000 patients of widespread backgrounds, and none experiences any side effects. You put it on the market and, once again, ...

Causal AI is reshaping decision intelligence, helping enterprises move beyond correlation to smarter, explainable decisions. Learn how it works.

To be sure, this form of causal reasoning requires prior knowledge. One has seen the co-occurrence of rain and the wet street many times and been taught that rain causes wetness. And although such ...

NEW YORK--(BUSINESS WIRE)--Causely, the causal reasoning platform for modern engineering teams, today launches a native integration with OpenTelemetry. OpenTelemetry has redefined observability by ...

In many settings, however, such experiments are expensive and time consuming. Hence, it is desirable to obtain causal information from observational data, that is, from data obtained by observing ...