49 citations · 132 across the 19 of their papers we have counts for
20 papers
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…
Disentangled Representations for Causal Cognition
Filippo Torresan, Manuel Baltieri
Complex adaptive agents consistently achieve their goals by solving problems that seem to require an understanding of causal information, information pertaining to the causal relat…
Hybrid Life: Integrating Biological, Artificial, and Cognitive Systems
Manuel Baltieri, Hiroyuki Iizuka, Olaf Witkowski +2
Artificial life is a research field studying what processes and properties define life, based on a multidisciplinary approach spanning the physical, natural and computational scien…
A continuity of Markov blanket interpretations under the Free Energy Principle
Anil Seth, Tomasz Korbak, Alexander Tschantz
Bruineberg and colleagues helpfully distinguish between instrumental and ontological interpretations of Markov blankets, exposing the dangers of using the former to make claims abo…