Applied category theory
Applications of category theory From Wikipedia, the free encyclopedia
Applied category theory is an academic discipline in which methods from category theory are used to study other fields[1][2][3] including but not limited to computer science,[4][5] physics (in particular quantum mechanics[6][7][8][9]), natural language processing,[10][11][12] control theory,[13][14][15] probability theory and causality. The application of category theory in these domains can take different forms. In some cases the formalization of the domain into the language of category theory is the goal, the idea here being that this would elucidate the important structure and properties of the domain. In other cases the formalization is used to leverage the power of abstraction in order to prove new results about the field.
List of applied category theorists
See also
External links
Journals:
Conferences:
- Applied category theory
- Symposium on Compositional Structures (SYCO)[16]
Books:
- Picturing Quantum Processes
- Categories for Quantum Theory
- An Invitation to Applied Category Theory (preprint)
- Category Theory for the Sciences (preprint)
Institutes:
- the Quantum Group at the University of Oxford
- TallCat, a research group at Tallinn University of Technology
- Topos Institute
- Cybercat Institute
Software:
- DisCoPy, a Python toolkit for computing with string diagrams
- CatLab.jl, a framework for applied category theory in the Julia language
- CQL, a query language based on Kan extensions
Companies:
- Conexus AI, a data integration company
- Symbolica, a machine learning company
Mascots:
References
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