58 citations · 394 across the 35 of their papers we have counts for
8 papers · 1 filter
Designing Ecosystems of Intelligence from First Principles
Karl J Friston, Maxwell J D Ramstead, Alex B Kiefer +17
This white paper lays out a vision of research and development in the field of artificial intelligence for the next decade (and beyond). Its denouement is a cyber-physical ecosyste…
Capsule Networks as Generative Models
Alex B. Kiefer, Beren Millidge, Alexander Tschantz +1
Capsule networks are a neural network architecture specialized for visual scene recognition. Features and pose information are extracted from a scene and then dynamically routed th…
Preventing Deterioration of Classification Accuracy in Predictive Coding Networks
Paul F Kinghorn, Beren Millidge, Christopher L Buckley
Predictive Coding Networks (PCNs) aim to learn a generative model of the world. Given observations, this generative model can then be inverted to infer the causes of those observat…
Knitting a Markov blanket is hard when you are out-of-equilibrium: two examples in canonical nonequilibrium models
Miguel Aguilera, Ángel Poc-López, Conor Heins +1
Bayesian theories of biological and brain function speculate that Markov blankets (a conditional independence separating a system from external states) play a key role for facilita…
Successor Representation Active Inference
Beren Millidge, Christopher L Buckley
Recent work has uncovered close links between between classical reinforcement learning algorithms, Bayesian filtering, and Active Inference which lets us understand value functions…
Spin glass systems as collective active inference
Conor Heins, Brennan Klein, Daphne Demekas +2
An open question in the study of emergent behaviour in multi-agent Bayesian systems is the relationship, if any, between individual and collective inference. In this paper we explo…