Unlike standard AI which is often reactive, Agentic AI with causal understanding can anticipate the consequences of its actions and identify the true mechanisms behind data trends (e.g., recognizing that "stress" is the real cause of weight gain during exams, not the exams themselves) [25, 35].
For a claim of causation to be valid, there must be a correlation between the cause and effect, the effect must follow the cause chronologically, and there should be a plausible explanation for the process [11]. causal agent
At its core, a causal agent is a "thing" with the power to change the world by causing an effect [20]. Unlike standard AI which is often reactive, Agentic
In modern technology, "Causal Agents" refer to specialized AI systems designed to understand and act upon cause-and-effect relationships rather than just simple patterns. In modern technology, "Causal Agents" refer to specialized