Tag: Causal Inference

From Prediction to Understanding: An Analysis of World Models with Causal Graphs

Posted on by uplatzblog

Executive Summary The field of artificial intelligence is undergoing a profound transition, moving beyond models that merely predict outcomes based on statistical correlations to systems that build an internal, manipulable Read More …

Disentangling Cause and Effect: A Report on Causal Inference Frameworks for High-Dimensional, Non-Stationary Environments

Posted on by uplatzblog

The Causal Imperative: From Statistical Association to Mechanistic Understanding The modern data landscape, characterized by its unprecedented volume and complexity, has amplified the need for analytical methods that transcend simple Read More …