2 citations · 3 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
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…