Research map

What can a system distinguish, and how do those distinctions change?

This is the organising question behind B-Theory. The path below links existing mathematical work to proposed research directions. These stages show a conceptual progression, not a claim that one paper proves the next.

01

Represent

Represent a state

A system needs a formal way to describe possible states and operations on them.

02

Observe

Observe and distinguish

Available tests determine which states remain indistinguishable and what changes when observations improve.

03

Organize

Organize relationships

Structure can be studied through hierarchy, topology, homology, composition, and factorization.

04

Become

Model change and reflection

A finite technical report connects permitted sensing to prediction under known actions. Continuous change and self-modeling remain proposed directions.

The idea in miniature

Change the available observations

In this simple example, a new test splits a group of states that previously looked the same.

Four cards. Two possible tests.

You can see all four cards below. The observer can only read the properties you enable.

Each card is written AB: A is colour (0 = teal, 1 = gold); B is shape (0 = circle, 1 = square). So 01 is a teal square.

Before you change a test: predict which cards will still look the same to the observer.

What can the observer read?
Why distinctions matter

11:14 · English captions · Narrated explainer

From four cards to questions about a system’s own observations and limits.

Watch larger, with chapters and transcript

2 observable groups. The observer knows the colour, but cannot tell a circle from a square.

Teal (A = 0)

  • 00 Teal circle
  • 01 Teal square

Gold (A = 1)

  • 10 Gold circle
  • 11 Gold square

What changed? The cards stay fixed; what changes is which cards the observer can distinguish. Adding a test can split a group. It cannot merge groups the observer could already tell apart.

The mathematics behind the example

1 bit of uncertainty remains about the full state: one more yes/no answer identifies the card.

This toy model treats all four cards as equally likely. The uncertainty is Shannon conditional entropy about the full state given the selected observations. It is not a measure of consciousness.

The groups here use complete yes/no records. The ProLT explanation also studies a different construction, where only positive answers count as observations.

Research status

Results, tools, and open questions

A manuscript establishes only its stated mathematical results. The proposed links to cognition and self-awareness remain questions for further modeling and empirical work.

Read the paper guide