5 citations · 8 across the 3 of their papers we have counts for
3 papers
math.CT2023★ 5 cited
Active Inference in String Diagrams: A Categorical Account of Predictive Processing and Free Energy
Sean Tull, Johannes Kleiner, Toby St Clere Smithe
We present a categorical formulation of the cognitive frameworks of Predictive Processing and Active Inference, expressed in terms of string diagrams interpreted in a monoidal cate…
cs.LO2023★ 3 cited
Causal models in string diagrams
Robin Lorenz, Sean Tull
The framework of causal models provides a principled approach to causal reasoning, applied today across many scientific domains. Here we present this framework in the language of s…
q-bio.NC2023
Formalising and Learning a Quantum Model of Concepts
Sean Tull, Razin A. Shaikh, Sara Sabrina Zemljic +1
In this report we present a new modelling framework for concepts based on quantum theory, and demonstrate how the conceptual representations can be learned automatically from data.…