The Dot Theory
a standard for representational completeness across domains
Dot Theory
This site functions as a working environment around an ongoing piece of research to formulate a standard for representational completeness across domains. The core framework is presented in its most stable form within the primary paper, while other materials on the site explore its interpretation, formalisation, and application. Some components may be provisional and are intended to support development rather than serve as final statements.
Natural Philosophy, mathematical physics, and representational structure
First publication: September 2024
Stefaan Vossen
Welcome, and thank you for reading this website.
Please allow me to open with a short poem.
Life is all about finding out that:
life is real
life is a game
that game has rules
reality is the record of it
you cannot not play a game in it
you cannot not play a game and not finish it
the game you play is the one you most understand
you are living less, the less playfully you play your game
What this site is:
Dot Theory is presented here as a research programme in Natural Philosophy with a specific technical aim:
To study whether certain physical and computational formalisms are representationally incomplete with respect to contextual and observer-conditioned information, and if so, to propose an extension that is mathematically coherent, reduces to standard theory in appropriate limits, and yields discriminable predictions.
This is not an interdisciplinary manifesto. It is a programme that intends to be judged by formal definition, derivation, and falsifiability.
The writing on this site is occasionally personal in tone because I think motivation matters. The mathematics, however, has to stand without rhetoric and can be found as follows across a series of links on this website and one paper for publication:
Internal site links to:
epistemic + institutional foundation: https://www.dottheory.co.uk/paper/a-modern-constitution
mathematical language for conditional objects: https://www.dottheory.co.uk/paper/conditional-set-theory
dynamics / optimisation geometry: https://www.dottheory.co.uk/paper/cost-homotop
External GitHub Repo: https://github.com/stefaanvossen-dot/Dot-theory
The paper for publication will be linked here when published but its derivative elaborations can be tentatively evaluated across the website.
The core programme claim in one paragraph:
Physical theories map observations into state representations and then evolve those states to generate predictions. Dot Theory asks whether some classes of contextual variables that affect modelling and measurement are being treated implicitly, or discarded entirely, in standard representations. If such variables can be formalised as auxiliary structure, then an extended state representation may be warranted.
The programme requirement is strict: any extension must be consistent, must preserve required symmetries unless explicitly justified, must recover the standard formalism as a limiting case, and must generate at least one clear empirical discriminator.
What Dot Theory does not claim:
To keep the site accountable, it is important to state boundaries upfront.
Dot Theory as a central claim does not, on its own, claim to:
replace Quantum Mechanics or General Relativity
“solve” unification by assertion
derive consciousness from physics, or physics from consciousness
establish a universal ethic
offer conclusions without derivations
It merely offers toy examples in relation to them. You will find conjectures and programme proposals here. Where something is conjectural, it is labelled as such. Where something is formal, it is presented with definitions, assumptions, and conditions.
Where to start:
If you want the programme-level overview first:
Project Overview: what is being claimed, what is not, and what would count as success or failure.
If you’re into law and want the constitutional and institutional extension:
Informational Constitutionalism: a structural argument about procedural access to evaluative information in computational governance.
If you want the human motivation, with disciplined scope:
Happiness: how representation, feedback, and agency relate to wellbeing under partial observability, without metaphysical inflation.
If you want technical material:
Logic and the technical pages: definitions, formal structure, and the programme’s research direction.
Blog posts remain as working notes and drafts. They are exemplary of the core programme pages.
AI is implicit to the program and discussed variously as tool.
A minimal formal orientation:
When notation appears on this site, it is used in a restrained and orienting sense.
Let ℋ denote a conventional state space and let ψ ∈ ℋ represent a standard system state. Across this site’s papers and posts, various toy applications of Dot Theory explore whether an extended representation Ψ = (ψ, μ) ∈ ℋ × ℳ is warranted, where ℳ denotes a space of contextual or structural metadata.
This as a representational proposal, not an assumption. The validity of any specific choice of ℳ, and of any dynamics defined over ℋ × ℳ, is to be demonstrated rather than presupposed.
Importantly for the reader, engagement with this framework does not require formal mathematical treatment. The notation serves as an orientation for those familiar with such structures, while the core ideas can be understood conceptually without it. Where mathematical language is used elsewhere on the site, including references to matrices or compatibility conditions, it reflects one possible formal expression of the same underlying idea: that representation may depend not only on state, but on the structure under which that state becomes admissible.
Closing
I built this site for a niche audience to declare and invite serious critique. If the framework is useful, it will be because it improves modelling under stated assumptions and survives confrontation with data. If it fails, it should fail subtly yet clearly if not easily.
Either way, the work is better for being tested.
Thank you for reading.
Stefaan
We are here to experience the world we create