Combinatorial Game Theory
who wins, and by how much
Generator

Which questions are answerable

Which questions are answerable
Which questions are answerable. The theory is exact and much of it is expensive. Values are computable by definition; computing one for a position of any size is a different matter, and deciding the winner of a generalised board game is complete for PSPACE — as hard as anything solvable in polynomial space.

The theory is exact and much of it is expensive. Values are computable by definition; computing one for a position of any size is a different matter, and deciding the winner of a generalised board game is complete for PSPACE — as hard as anything solvable in polynomial space.

2 essays call how-hard. The drawing above is what it returns with no arguments at all; every call below passes it something, because a placement that passes nothing draws whichever member of the family the generator happens to default to rather than the one its essay argues about.

Where it is called

Changing this generator changes every one of these figures.

Which questions are answerable. The theory is exact and much of it is expensive. Values are computable by definition; computing one for a position of any size is a different matter, and deciding the winner of a generalised board game is complete for PSPACE — as hard as anything solvable in polynomial space. What it costs

How hard is it

Every theorem on this site stays true at any size. The answers stop being reachable long before the games get interesting — deciding the winner of a generalised board game is PSPACE-complete, and an exact evaluator gives out after a few dozen moves.

 a loop with a way out: what the backward analysis settles. A position graph in which the moves can lead back to where they started. The labels are the order in which a backward analysis settles each position, starting from the ones where a player has already run out of moves. Positions the analysis never reaches are drawn — and there is no test for that; being unreachable is what a draw is. Where it stops

Start at the end and work backwards

When play can return to where it started there is no bottom for the recursion to stand on. What replaces it begins at the positions where somebody has already lost and propagates outwards — and the positions it never reaches are exactly the draws. There is no test for a draw, and there does not need to be.

The whole library · The position index · The figures that play back