24 citations · 121 across the 18 of their papers we have counts for
19 papers
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…
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…
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.…
The Conceptual VAE
Razin A. Shaikh, Sara Sabrina Zemljic, Sean Tull +1
In this report we present a new model of concepts, based on the framework of variational autoencoders, which is designed to have attractive properties such as factored conceptual d…
A Categorical Semantics of Fuzzy Concepts in Conceptual Spaces
Sean Tull
We define a symmetric monoidal category modelling fuzzy concepts and fuzzy conceptual reasoning within Gärdenfors' framework of conceptual (convex) spaces. We propose log-concave f…
Monoidal Categories for Formal Concept Analysis
Sean Tull
We investigate monoidal categories of formal contexts, in which states correspond to formal concepts. In particular we examine the category of bonds or Chu correspondences between…