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winning position generator

winning position generator

Short Description Of Idea: take won position and work backwards
To generate strictly winnable positions in games: take any won position P(n) for player 1 and generate all positions P(n-1) leading to P(n). Since player 1 just won it was his move going from n-1 to n. To get won positions P(n-2) from P(n-1) one has to consider all moves for player 2, requiring forward search. So do full forward search from P(n-2) with some depth or time limit, generating a possibly incomplete but still useful list of won positions P(n-2). From there situation returns to that of P(n) (for a two-player game).
see 'retrograde analysis' for chess.

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Contact Person: jeremy rutman
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Date added: June 2, 2009, 4:10 am    Hits: 339
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what its good for
by jeremy
on June 2, 2009
I was talking to Shay Bushinsky, co-creator of 'deep junior' which wins the world microcomputer championship every few years. I posited use of classification algorithms to learn good from bad instead of the commonly used heuristic rating of positions; his response was 'what's a good position?'. So the point here is just to generate an unlimited list of known good (provably won) positions. Such positions can be used as input to learning algorithms (nn, svm, etc) which is where the AI comes in.
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articial intelligence
by Nir
on June 2, 2009
Dear Jeremy,

What you are describing here is articial intelligence, you can do it for many fields and not just chess.
You can also build an array of bad moves to know not to go this way...

Good luck
Nir
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