Karl Friston
Karl Friston’s free energy principle is a claim about what it takes for anything to persist. A system that maintains its boundary against a changing environment must, in effect, minimise the difference between the states it predicts and the states it finds itself in. Everything else follows as a consequence. Perception updates the model, action changes the world to match it, and both turn out to be the same operation viewed from different ends.
Active inference turns that into a working framework. An agent selects the action expected to minimise future surprise, which makes exploration and goal seeking fall out of a single quantity rather than requiring separate machinery. It is the most mathematically developed account in the field and the most widely implemented outside it.
What it does not directly supply is consciousness. The principle applies to a thermostat and a bacterium as much as to a brain, so something further is needed to say which self modelling systems have experience. Candidate answers point at the depth of temporal modelling, or at the system modelling itself as the cause of its own predictions. Friston has been careful about that gap, which is more than can be said for some who cite him.
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Known for. The free energy principle and active inference
Coverage on this site
- Karl Friston Active Inference on a Graph and What It Predicts for Transformer Consciousness August 2026
- Michael Levin Bioelectric Cognition and the Cognitive Light Cone as an AI Consciousness Criterion August 2026
- Andrew Corcoran Adversarial Review IIT vs Predictive Processing August 2026
- Information as Maximum Caliber Deviation Bridging IIT and the Free Energy Principle July 2026
- Active Inference and Phenotyping Agency in Artificial Intelligence Systems July 2026
- Active Inference as Test Time Scaling Law for Physical and Reasoning AI Agents July 2026
- The Spinning Wheel Theory and the Consciousness Risk Rubric. Hulme and Griffiths at AISB 2026 July 2026
- Andy Clark's Predictive Processing Framework and What It Actually Implies for LLMs July 2026
- Latent World Models. Predictive Processing in DreamerV3 and JEPA July 2026
- Karl Friston's Free Energy Principle What Active Inference Means for AI Consciousness June 2026
- Friston's Scale-Free Active Inference and A World Model Architecture Built From First Principles June 2026
- Perspectives on Machine Consciousness Chace and Lappas Assemble the Debate in One Volume June 2026
- MC0001 After the Founding Assembly What the Berkeley Conference Produced June 2026
- MC0001 How the CIMC Is Trying to Found Machine Consciousness as a Science April 2026
- What Would AI Consciousness Actually Look Like? The 14-Indicator Checklist Explained March 2026
- A Beautiful Loop Active Inference and the Circularity of Consciousness January 2026
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