This article discusses the application of qualitative methods in analyzing causal complexity. In particular, the essay reviews how process tracing and systematic case comparisons can address ...

Recently, Quantitative Biology published an approach entitled "Gene Regulatory Network Inference based on Causal Discovery Integrating with Graph Neural Network", that leverages graph ...

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

Knowledge graphs are conceptual models of the world that map entities, their properties, and their relationships. The Cognaize Knowledge Graph, trained on various AI models for the graphical ...

So the example is not a counterexample to causal decision theory. Nevertheless, the example shows that causal decision theory can recommend unratifiable acts (acts that once decided upon appear ...