I've always found the name pretty misleading and grandiose, relative to what the algorithm actually does.
I've always found the name pretty misleading and grandiose, relative to what the algorithm actually does.
Each tile has a superposition of possible states that collapse into one observed state. That’s all the metaphor is meant to mean, I think.
What are better names?
- Lego Simplices
- Tile Constraint Pairing
- Pipe Fitting
- Cartesian Convolution (nah)
- Finite automata (ok that’s fair, but subthings need names)
I dunno, I think the WFC metaphor works for me. The “wavefunction” is just the finite set of states that have a non-zero probability of being observed.
This is like saying an uninitialized integer has a superposition of all possible values. I find it a very convoluted way of saying "each tile has a set of possible next states" - dragging quantum terms to this is just confusing, in my opinion.
> This is like saying an uninitialized integer has a superposition of all possible values.
Well? Yeah! And I personally like that way of thinking about sets. It maps pretty directly to my understandings of other things in math and physics.
1. Analyze Rules: Extract valid patterns (modules) and their compatibility rules (adjacency constraints) from input or define them.
2. Initialize Grid: Create an output grid where each cell initially contains all possible modules (maximum uncertainty).
3. Choose and Assign: Select the cell with the fewest valid modules remaining. Randomly assign one compatible module to it.
4. Propagate Constraints: Update neighboring cells by removing modules incompatible with the newly assigned one. If a cell loses all options, a contradiction occurs.
5. Handle Contradiction: If a contradiction arises, either backtrack to a previous choice or restart the process.
6. Repeat: Continue from step 3 until all cells are assigned a module or an unresolvable contradiction occurs.