Public_Library_ChessAI

It is not a search engine. It is a ladder of ten rules that looks at one position, tries the rules in order, and plays the first that fires:
1. Mate in one
2. Opening book
3. Avoid checkmate
4. Defence
5. Win material
6. Safe check
7. Exchange when ahead
8. Endgame
9. Develop
10. Any other safe move
🟩 THE FORESEE
Before the ladder runs, a foresee stage takes every legal move and adds to its object its most likely material outcome. This score comes from the opponent's best replies to our move, and a few captures after that. We look at the opponent's best captures, his checks, his most menacing quiet threats, and what happens if we don't take. We also look briefly whether two checks in a row force mate. Deep thinking follows more replies and reads six half-moves.
The score works mostly as a veto. From the list of possible moves for a ladder stage, we reject the ones that end in us being checkmated. When every legal move walks into one, we toss a coin to decide between playing the least-bad move and resigning.
🟩 KEEPING A WON GAME WON
If we are winning we want to win, not draw. While ahead on material, the quiet rules refuse any move that recreates a position the game has already seen, so it can't shuffle a rook between two good squares forever. And the foresee prices a stalemate at minus the lead it would throw away, so the winning side sidesteps the trap while the losing side, correctly, steers toward it. The endgame rule gives the ladder actual technique (push passers, rook to the seventh, king up to escort) to try to win.
🟩 DETERMINISM
No `math.random()` call decides anything on its own. The first five rules always give the same answer for a position. The last five pick from their pools with a seed the consumer supplies, derived from the game record. Variety between games comes from the consumer script mixing a clock reading into the seed, not from the library.
🟩 PROCESS FLOW
The exported functions are called in a certian order for each position:
- ChessCore generates the legal moves.
- `annotateMoves()` counts the attackers and defenders on every move's landing square, and notes the cheapest attacker. Every safety test the rules make reads these three numbers.
- `filterPromotions()` and `classifyMoves()` trim pointless pawn promotions and flag moves that make the king's cover worse or that just undo the previous move.
- The foresee adds a score to each candidate move: `foreseePrepare()` starts the story, `foreseeFinishCaptures()` follows the capture lines, and `foreseeFinishRest()` follows the checks and quiet threats. The consuming script spreads these calls across chart bars so no single bar works too hard.
- The ladder rules run in order, `ruleMateInOne()` down to `ruleFallback()`, and the first one that returns a move wins.
See the Chess script to play against this AI:

Imports v2 of ChessCore
Perpustakaan pine
Dengan semangat TradingView yang sesungguhnya, penulis telah menerbitkan kode Pine ini sebagai pustaka sumber terbuka agar programmer Pine lain dari komunitas kami dapat menggunakannya kembali. Salut untuk penulis! Anda dapat menggunakan pustaka ini secara pribadi atau dalam publikasi sumber terbuka lainnya, tetapi penggunaan kembali kode ini dalam publikasi diatur oleh Tata Tertib.
🆓 All my free scripts: is.gd/simplefree
Pernyataan Penyangkalan
Perpustakaan pine
Dengan semangat TradingView yang sesungguhnya, penulis telah menerbitkan kode Pine ini sebagai pustaka sumber terbuka agar programmer Pine lain dari komunitas kami dapat menggunakannya kembali. Salut untuk penulis! Anda dapat menggunakan pustaka ini secara pribadi atau dalam publikasi sumber terbuka lainnya, tetapi penggunaan kembali kode ini dalam publikasi diatur oleh Tata Tertib.
🆓 All my free scripts: is.gd/simplefree