activity
20232025
most citedSupervised structure learning

2 citations · 3 across the 5 of their papers we have counts for

collaborators

6 papers

eess.SY2025

EcoNet: Multiagent Planning and Control Of Household Energy Resources Using Active Inference

John C. Boik, Kobus Esterhuysen, Jacqueline B. Hynes +5

Advances in automated systems afford new opportunities for intelligent management of energy at household, local area, and utility scales. Home Energy Management Systems (HEMS) can…

cs.AI2024

Free Energy in a Circumplex Model of Emotion

Candice Pattisapu, Tim Verbelen, Riddhi J. Pitliya +2

Previous active inference accounts of emotion translate fluctuations in free energy to a sense of emotion, mainly focusing on valence. However, in affective science, emotions are o…

cs.AI20241 cited

A Path Towards Legal Autonomy: An interoperable and explainable approach to extracting, transforming, loading and computing legal information using large language models, expert systems and Bayesian networks

Axel Constant, Hannes Westermann, Bryan Wilson +6

Legal autonomy - the lawful activity of artificial intelligence agents - can be achieved in one of two ways. It can be achieved either by imposing constraints on AI actors such as…

q-bio.NC2023

Active Inference and Intentional Behaviour

Karl J. Friston, Tommaso Salvatori, Takuya Isomura +10

Recent advances in theoretical biology suggest that basal cognition and sentient behaviour are emergent properties of in vitro cell cultures and neuronal networks, respectively. Su…

cs.LG20232 cited

Supervised structure learning

Karl J. Friston, Lancelot Da Costa, Alexander Tschantz +10

This paper concerns structure learning or discovery of discrete generative models. It focuses on Bayesian model selection and the assimilation of training data or content, with a s…

q-bio.NC2023

Relative representations for cognitive graphs

Alex B. Kiefer, Christopher L. Buckley

Although the latent spaces learned by distinct neural networks are not generally directly comparable, recent work in machine learning has shown that it is possible to use the simil…