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README.md
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README.md
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# Stickfosh
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# Stickfosh
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> [Stockfish](https://stockfishchess.org), but worse :)
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> Stockfish, but worse :)
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## Overview
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This project is a **Chess AI** built using the **Model-View-Controller (MVC)
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pattern**. It provides a modular framework for playing chess, allowing both
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**human vs AI** and **AI vs AI** matches. The AI has undergone several
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iterations, improving its decision-making capabilities through enhancements like
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**alpha-beta pruning**, **move ordering**, **iterative deepening**, and
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**transposition tables**.
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## Features
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- **MVC Architecture**: The project follows the MVC pattern for clean separation of concerns:
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- **Model**: Handles chess rules, board state, and AI logic.
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- **View**: GUI and NoOp (console-based) rendering options.
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- **Controller**: Manages interactions between players and the game.
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- **Multiple AI Versions**: Several AI versions with increasing complexity have been implemented.
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- **AI vs AI Matches**: A dedicated mode to watch different AI versions compete.
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- **Human vs AI Mode**: Play against the AI using a graphical interface.
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- **FEN Support**: Load chess positions using FEN notation.
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- **Performance Testing (Perft)**: Built-in performance testing for move generation.
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## AI Iterations
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This project has undergone multiple AI improvements, including:
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1. **v0 Random AI**: Selects moves randomly.
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1. **v1 Pure Minimax**: Implements basic minimax search.
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1. **v2 Alpha-Beta Pruning**: Optimizes minimax with pruning.
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1. **v3 Move Ordering**: Prioritizes moves to improve search efficiency.
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1. **v4 Search Captures**: Enhances move ordering by focusing on captures.
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1. **v5 Better Endgame**: Introduces heuristics for endgame play.
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1. **v6 Iterative Deepening**: Dynamically adjusts search depth for better performance.
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1. **v7 Transposition Tables**: Caches board states to reduce redundant computations.
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## Installation & Usage
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### Prerequisites
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- C++ Compiler (C++17 or later)
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- `make`
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- SFML (for GUI rendering)
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### Build Instructions
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1. Clone the repository:
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```sh
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git clone https://github.com/karma-riuk/stickfosh.git
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cd stickfosh
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```
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1. Create a build directory and compile:
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```sh
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make main
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```
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1. Run the program:
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```sh
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./main
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```
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## Running AI vs AI Matches
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To watch two AI versions play against each other, modify `main.cpp` to instantiate the desired AI versions and run:
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```sh
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./main
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```
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## Video Demo
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<!-- [](https://www.youtube.com/watch?v=XXXXXXXXXX) -->
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<!-- *Click the image above to watch a video of two AI versions competing!* -->
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## Future Improvements
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- Implement **opening book** for better early-game decisions.
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- Enhance **evaluation function** with more advanced heuristics.
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- Introduce **neural network-based AI** for machine-learning-driven play.
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- Introduce **Monte-Carlo Tree Search** for stochastic driven play.
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@ -10,12 +10,6 @@
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Move ai::v3_AB_ordering::_search(const Board& b) {
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Move ai::v3_AB_ordering::_search(const Board& b) {
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std::vector<Move> moves = b.all_legal_moves();
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std::vector<Move> moves = b.all_legal_moves();
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std::sort(moves.begin(), moves.end(), [&](Move& m1, Move& m2) {
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int score = m1.score_guess(b) - m2.score_guess(b);
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if (!am_white)
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score *= -1;
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return score < 0;
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});
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Move best_move;
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Move best_move;
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int best_eval = -INFINITY;
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int best_eval = -INFINITY;
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@ -75,10 +69,7 @@ int ai::v3_AB_ordering::_ab_search(
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std::vector<Move> moves = b.all_legal_moves();
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std::vector<Move> moves = b.all_legal_moves();
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std::sort(moves.begin(), moves.end(), [&](Move& m1, Move& m2) {
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std::sort(moves.begin(), moves.end(), [&](Move& m1, Move& m2) {
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int score = m1.score_guess(b) - m2.score_guess(b);
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return m1.score_guess(b) > m2.score_guess(b);
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if (!am_white)
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score *= -1;
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return score < 0;
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});
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});
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Move best_move;
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Move best_move;
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#include <map>
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#include <map>
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static int position_counter = 0;
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Move ai::v6_iterative_deepening::_search(const Board& b) {
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Move ai::v6_iterative_deepening::_search(const Board& b) {
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ThreadPool pool(std::thread::hardware_concurrency());
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ThreadPool pool(std::thread::hardware_concurrency());
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std::vector<Move> moves = b.all_legal_moves();
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std::vector<Move> moves = b.all_legal_moves();
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@ -13,8 +15,7 @@ Move ai::v6_iterative_deepening::_search(const Board& b) {
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int best_eval = -INFINITY;
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int best_eval = -INFINITY;
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std::map<Move, std::future<int>> futures;
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std::map<Move, std::future<int>> futures;
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int depth;
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for (int depth = 1; !stop_computation; depth++) {
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for (depth = 1; !stop_computation; depth++) {
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for (const Move& move : moves) {
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for (const Move& move : moves) {
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Board tmp_board = b.make_move(move);
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Board tmp_board = b.make_move(move);
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futures.insert(
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futures.insert(
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@ -37,7 +38,5 @@ Move ai::v6_iterative_deepening::_search(const Board& b) {
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}
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}
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futures.clear();
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futures.clear();
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}
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}
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std::cout << "Went up until depth: " << depth << std::endl;
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return best_move;
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return best_move;
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}
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}
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return ret;
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return ret;
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}
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}
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Move Move::from_string(std::string move) {
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if (!(4 <= move.size() && move.size() <= 5))
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throw std::invalid_argument("Move must be 4 or 5 characters long");
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Move ret;
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ret.source_square = Coords::from_algebraic(move.substr(0, 2)).to_index();
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ret.target_square = Coords::from_algebraic(move.substr(2, 2)).to_index();
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if (move.size() == 5)
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switch (move[4]) {
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case 'n':
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ret.promoting_to = Knigt;
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break;
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case 'b':
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ret.promoting_to = Bishop;
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break;
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case 'r':
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ret.promoting_to = Rook;
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break;
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case 'q':
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ret.promoting_to = Queen;
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break;
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default:
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throw std::invalid_argument("Promotion piece must be one of 'nbrq'"
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);
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}
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ret.target_square = Coords::from_algebraic(move.substr(2, 2)).to_index();
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return ret;
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}
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int score_guess(const Board&) const;
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int score_guess(const Board&) const;
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static Move from_string(std::string);
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std::string to_string() const {
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std::string to_string() const {
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std::stringstream ss;
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std::stringstream ss;
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ss << Coords::from_index(source_square)
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ss << Coords::from_index(source_square)
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#include "../src/model/board/board.hpp"
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#include "lib.hpp"
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int main() {
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std::string str_move = "a2a3";
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ASSERT_EQUALS(str_move, Move::from_string(str_move).to_string());
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str_move = "b2f4";
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ASSERT_EQUALS(str_move, Move::from_string(str_move).to_string());
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str_move = "a2a1r";
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ASSERT_EQUALS(str_move, Move::from_string(str_move).to_string());
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}
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