49 citations · 132 across the 19 of their papers we have counts for
3 papers · 1 filter
From monoliths to modules: Decomposing transducers for efficient world modelling
Alexander Boyd, Franz Nowak, David Hyland +2
World models have been recently proposed as sandbox environments in which AI agents can be trained and evaluated before deployment. While realistic world models often have high com…
A Bayesian Interpretation of the Internal Model Principle
Manuel Baltieri, Martin Biehl, Matteo Capucci +1
The internal model principle, originally proposed in the theory of control of linear systems, nowadays represents a more general class of results in control theory and cybernetics.…
AI in a vat: Fundamental limits of efficient world modelling for agent sandboxing and interpretability
Fernando Rosas, Alexander Boyd, Manuel Baltieri
Recent work proposes using world models to generate controlled virtual environments in which AI agents can be tested before deployment to ensure their reliability and safety. Howev…