Institute for Categorical Cybernetics
Governance and control for the age of AI
Our mission is to develop theory and software for governing systems that learn and make decisions, for the benefit of their users and of humanity.
Latest posts
-
Mathematics for Governance Design
Recently we held a workshop in Edinburgh titled Mathematics for Governance Design, consisting of a roughly 50/50 split between social scientists and category theorists. -
On Hopfield Networks and Boltzmann Machines
In which we connect the physics Nobel Prize to machine learning and economic design. -
Foundations of Bidirectional Programming III: The Logic of Lenses
In this post we will make probably the single most important step from a generic type theory to one specialised to bidirecional programming. -
Foundations of Bidirectional Programming II: Negative Types
In this post we'll begin designing a kernel language in which all programs are optics. What I mean by a "kernel language" is that it will serve as a compiler intermediate representation, with a surface language compiling down to it. I intend the surface language to be imperative style like the current Open Game Engine (with an approximately Python-like syntax), but the kernel language will reflect the category theory as closely as possible. I plan the kernel language to be well typed by construction, something that seems like overkill until I think about the problem of figuring out how pattern matching should work in a bidirectional language. -
On Modelling
In which we learn why "flat earth" is a perfectly sound scientific proposition and why being wrong two thirds of the time can actually be quite lucrative. -
Foundations of Bidirectional Programming I: Well-Typed Substructural Languages
This is the first post in a new series documenting my work developing a bidirectional programming language, in which all programs are interpreted as optics. This is something I've been thinking about for a long time, and eventually I became convinced that there were enough subtle issues that I should take things extremely slowly and actually learn some programming language theory. As a result, this post will not be about categorical cybernetics at all, but is a foundation to a huge tower of categorical cybernetics machinery that I will build later. -
Beliefs, Belief Propagation and Belief Clusters
In which we try to capture all the ways how beliefs can shape social and economic interaction. -
Compositionality and the Mass Customization of Economic Models
Are economic models useful for making decisions? One might expect that there is clear answer to this simple question. But in fact opinions on the usefulness or non-usefulness of models as well as what exactly makes models useful vary widely. In this post, I want to explore the question of usefulness. Even more so, I want to explore how the usefulness ties into the modelling process. The reason for doing so is simple: Part of our efforts at CyberCat is to build software tools to improve and accelerate the modelling process. -
The Yoga of Contexts I
Suppose we have some category, whose morphisms are some kind of processes or systems that we care about. We would like to be able to talk about contexts (or environments) in which these processes or systems can be located. -
Reinforcement Learning through the Lens of Categorical Cybernetics
This is an overview of the 'RL lens', a construction that we recently introduced to understand some reinforcement learning algorithms like Q-learning -
The Blurry Boundary between Economics and Operations Research
In which we bring back together the estranged fraternal disciplines of economics and operations research and map out how we can combine them to design cybernetic economies. -
Exploring best response dynamics
I explore the effect of players following their best response dynamics in large random normal form games. -
The Build Your Own Open Games Engine Bootcamp — Part I: Lenses
The first installment of a multi-part series demistifying the underlying mechanics of the open games engine in a simple manner. -
Building a Neural Network from First Principles using Free Categories and Para(Optic)
In this post we will look at how dependent types can allow us to effortlessly implement the category theory of machine learning directly, opening up a path to new generalisations. -
Enriched Closed Lenses
I'm going to record something that I think is known to everyone doing research on categorical cybernetics, but I don't think has been written down somewhere: an even more general version of mixed optics that replaces the backwards actegory with an enrichment. With it, I'll make sense of a curious definition appearing in The Compiler Forest.