3 papers
cs.AI2026
Active Inference as the Test-Time Scaling Law for Physical AI Agents
Omar Hashash, Christo Kurisummoottil Thomas, Walid Saad +3
In this paper, a novel test-time scaling law for physical artificial intelligence (AI) agents is introduced. This scaling law enables physical AI agents to reason with their world…
stat.ML2026
Online Generalised Predictive Coding
Mehran H. Z. Bazargani, Szymon Urbas, Adeel Razi +2
This paper introduces an extension of generalised filtering for online applications. Generalised filtering refers to data assimilation schemes that jointly infer latent states, lea…
cs.AI2025
Possible Principles for Aligned Structure Learning Agents
Lancelot Da Costa, Tomáš GavenÄiak, David Hyland +5
This paper offers a roadmap for the development of scalable aligned artificial intelligence (AI) from first principle descriptions of natural intelligence. In brief, a possible pat…