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Cybernetics and World Modeling
A new paper from OREL's Cybernetics Interest Group situates the Every Good Regulator Theorem alongside modern AI world models, appearing in the Royal Society A special issue on 'World models in natural and artificial intelligence.'
Our article in Royal Society A on the EGRT as World Model is out today! Part of the special issue on "World Models in Natural and Artificial Intelligence" royalsocietypublishing.org/rsta/article...
— Orthogonal Research and Education Lab (@orthogonal-lab.bsky.social) 2026-05-14T15:40:32.378Z
Our paper “A ‘good’ regulator may provide a world model for intelligent systems” is now available as part of the Royal Society A special issue “World models in natural and artificial intelligence”.
Our work as Situated Cognition (its place in the special issue)
Our work situates a cybernetic concept known as the Every Good Regulator Theorem (EGRT) in the modern world of AI research, particularly the notion of a World Model. As per the NVIDIA Glossary:
World models understand the dynamics of the real world, including physics and spatial properties.
There is a diversity of ways in which World Models are explored in this special issue: including but not limited to forms of intelligence, models of the self, theories and hypotheses about the world, complex system control and management, experiential phenomena, and causal models.
This paper was the product of the lab’s Cybernetics Interest Group. Check out more of our activities on our YouTube playlist or the Cybernetics and Physical Intelligence (PhASiC) website.