ChessEngine: Add ChessEngine

This engine is pretty bad, but doesn't let itself get checkmated
This commit is contained in:
Peter Elliott 2020-08-20 17:04:08 -06:00 committed by Andreas Kling
parent fb62eed058
commit 1e57e32a93
Notes: sideshowbarker 2024-07-19 03:22:03 +09:00
10 changed files with 501 additions and 3 deletions

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@ -2,6 +2,7 @@ add_subdirectory(About)
add_subdirectory(Browser) add_subdirectory(Browser)
add_subdirectory(Calculator) add_subdirectory(Calculator)
add_subdirectory(Calendar) add_subdirectory(Calendar)
add_subdirectory(ChessEngine)
add_subdirectory(Debugger) add_subdirectory(Debugger)
add_subdirectory(DisplaySettings) add_subdirectory(DisplaySettings)
add_subdirectory(FileManager) add_subdirectory(FileManager)

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@ -0,0 +1,8 @@
set(SOURCES
ChessEngine.cpp
main.cpp
MCTSTree.cpp
)
serenity_bin(ChessEngine)
target_link_libraries(ChessEngine LibChess LibCore)

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@ -0,0 +1,76 @@
/*
* Copyright (c) 2020, the SerenityOS developers.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
*
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include "ChessEngine.h"
#include "MCTSTree.h"
#include <LibCore/ElapsedTimer.h>
using namespace Chess::UCI;
void ChessEngine::handle_uci()
{
send_command(IdCommand(IdCommand::Type::Name, "ChessEngine"));
send_command(IdCommand(IdCommand::Type::Author, "the SerenityOS developers"));
send_command(UCIOkCommand());
}
void ChessEngine::handle_position(const PositionCommand& command)
{
// FIXME: Implement fen board position.
ASSERT(!command.fen().has_value());
m_board = Chess::Board();
for (auto& move : command.moves()) {
ASSERT(m_board.apply_move(move));
}
}
void ChessEngine::handle_go(const GoCommand& command)
{
// FIXME: A better algorithm than naive mcts.
// FIXME: Add different ways to terminate search.
ASSERT(command.movetime.has_value());
srand(arc4random());
Core::ElapsedTimer elapsed_time;
elapsed_time.start();
MCTSTree mcts(m_board);
// FIXME: optimize simulations enough for use.
mcts.set_eval_method(MCTSTree::EvalMethod::Heuristic);
int rounds = 0;
while (elapsed_time.elapsed() <= command.movetime.value()) {
mcts.do_round();
++rounds;
}
dbg() << "MCTS finished " << rounds << " rounds.";
dbg() << "MCTS evaluation " << mcts.expected_value();
auto best_move = mcts.best_move();
dbg() << "MCTS best move " << best_move.to_long_algebraic();
send_command(BestMoveCommand(best_move));
}

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@ -0,0 +1,49 @@
/*
* Copyright (c) 2020, the SerenityOS developers.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
*
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#pragma once
#include <LibChess/Chess.h>
#include <LibChess/UCIEndpoint.h>
class ChessEngine : public Chess::UCI::Endpoint {
C_OBJECT(ChessEngine)
public:
virtual ~ChessEngine() override { }
ChessEngine() { }
ChessEngine(NonnullRefPtr<Core::IODevice> in, NonnullRefPtr<Core::IODevice> out)
: Endpoint(in, out)
{
}
virtual void handle_uci();
virtual void handle_position(const Chess::UCI::PositionCommand&);
virtual void handle_go(const Chess::UCI::GoCommand&);
private:
Chess::Board m_board;
};

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@ -0,0 +1,180 @@
/*
* Copyright (c) 2020, the SerenityOS developers.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
*
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include "MCTSTree.h"
#include <AK/String.h>
#include <stdlib.h>
MCTSTree::MCTSTree(const Chess::Board& board, double exploration_parameter, MCTSTree* parent)
: m_parent(parent)
, m_exploration_parameter(exploration_parameter)
, m_board(board)
{
if (m_parent)
m_eval_method = m_parent->eval_method();
}
MCTSTree& MCTSTree::select_leaf()
{
if (!expanded() || m_children.size() == 0)
return *this;
MCTSTree* node = nullptr;
double max_uct = -double(INFINITY);
for (auto& child : m_children) {
double uct = child.uct(m_board.turn());
if (uct >= max_uct) {
max_uct = uct;
node = &child;
}
}
ASSERT(node);
return node->select_leaf();
}
MCTSTree& MCTSTree::expand()
{
ASSERT(!expanded() || m_children.size() == 0);
if (!m_moves_generated) {
m_board.generate_moves([&](Chess::Move move) {
Chess::Board clone = m_board;
clone.apply_move(move);
m_children.append(make<MCTSTree>(clone, m_exploration_parameter, this));
return IterationDecision::Continue;
});
m_moves_generated = true;
}
if (m_children.size() == 0) {
return *this;
}
for (auto& child : m_children) {
if (child.m_simulations == 0) {
return child;
}
}
ASSERT_NOT_REACHED();
}
int MCTSTree::simulate_game() const
{
ASSERT_NOT_REACHED();
Chess::Board clone = m_board;
while (!clone.game_finished()) {
clone.apply_move(clone.random_move());
}
return clone.game_score();
}
int MCTSTree::heuristic() const
{
if (m_board.game_finished())
return m_board.game_score();
double winchance = max(min(double(m_board.material_imbalance()) / 6, 1.0), -1.0);
double random = double(rand()) / RAND_MAX;
if (winchance >= random)
return 1;
if (winchance <= -random)
return -1;
return 0;
}
void MCTSTree::apply_result(int game_score)
{
m_simulations++;
m_white_points += game_score;
if (m_parent)
m_parent->apply_result(game_score);
}
void MCTSTree::do_round()
{
auto& node = select_leaf().expand();
int result;
if (m_eval_method == EvalMethod::Simulation) {
result = node.simulate_game();
} else {
result = node.heuristic();
}
node.apply_result(result);
}
Chess::Move MCTSTree::best_move() const
{
int score_multiplier = (m_board.turn() == Chess::Colour::White) ? 1 : -1;
Chess::Move best_move = { { 0, 0 }, { 0, 0 } };
double best_score = -double(INFINITY);
ASSERT(m_children.size());
for (auto& node : m_children) {
double node_score = node.expected_value() * score_multiplier;
if (node_score >= best_score) {
// The best move is the last move made in the child.
best_move = node.m_board.moves()[node.m_board.moves().size() - 1];
best_score = node_score;
}
}
return best_move;
}
double MCTSTree::expected_value() const
{
if (m_simulations == 0)
return 0;
return double(m_white_points) / m_simulations;
}
double MCTSTree::uct(Chess::Colour colour) const
{
// UCT: Upper Confidence Bound Applied to Trees.
// Kocsis, Levente; Szepesvári, Csaba (2006). "Bandit based Monte-Carlo Planning"
// Fun fact: Szepesvári was my data structures professor.
double expected = expected_value() * ((colour == Chess::Colour::White) ? 1 : -1);
return expected + m_exploration_parameter * sqrt(log(m_parent->m_simulations) / m_simulations);
}
bool MCTSTree::expanded() const
{
if (!m_moves_generated)
return false;
for (auto& child : m_children) {
if (child.m_simulations == 0)
return false;
}
return true;
}

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@ -0,0 +1,67 @@
/*
* Copyright (c) 2020, the SerenityOS developers.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
*
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#pragma once
#include <AK/Function.h>
#include <AK/NonnullOwnPtrVector.h>
#include <LibChess/Chess.h>
#include <math.h>
class MCTSTree {
public:
enum EvalMethod {
Simulation,
Heuristic,
};
MCTSTree(const Chess::Board& board, double exploration_parameter = sqrt(2), MCTSTree* parent = nullptr);
MCTSTree& select_leaf();
MCTSTree& expand();
int simulate_game() const;
int heuristic() const;
void apply_result(int game_score);
void do_round();
Chess::Move best_move() const;
double expected_value() const;
double uct(Chess::Colour colour) const;
bool expanded() const;
EvalMethod eval_method() const { return m_eval_method; }
void set_eval_method(EvalMethod method) { m_eval_method = method; }
private:
NonnullOwnPtrVector<MCTSTree> m_children;
MCTSTree* m_parent { nullptr };
int m_white_points { 0 };
int m_simulations { 0 };
bool m_moves_generated { false };
double m_exploration_parameter;
EvalMethod m_eval_method { EvalMethod::Simulation };
Chess::Board m_board;
};

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@ -0,0 +1,36 @@
/*
* Copyright (c) 2020, the SerenityOS developers.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
*
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include "ChessEngine.h"
#include <LibCore/EventLoop.h>
#include <LibCore/File.h>
int main()
{
Core::EventLoop loop;
auto engine = ChessEngine::construct(Core::File::stdin(), Core::File::stdout());
return loop.exec();
}

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@ -272,7 +272,7 @@ void ChessWidget::maybe_input_engine_move()
if (drag_was_enabled) if (drag_was_enabled)
set_drag_enabled(false); set_drag_enabled(false);
m_engine->get_best_move(board(), 500, [this, drag_was_enabled](Chess::Move move) { m_engine->get_best_move(board(), 4000, [this, drag_was_enabled](Chess::Move move) {
set_drag_enabled(drag_was_enabled); set_drag_enabled(drag_was_enabled);
ASSERT(board().apply_move(move)); ASSERT(board().apply_move(move));
update(); update();

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@ -425,8 +425,8 @@ bool Board::apply_illegal_move(const Move& move, Colour colour)
if (move.to == Square("a8") || move.to == Square("c8")) { if (move.to == Square("a8") || move.to == Square("c8")) {
set_piece(Square("e8"), EmptyPiece); set_piece(Square("e8"), EmptyPiece);
set_piece(Square("a8"), EmptyPiece); set_piece(Square("a8"), EmptyPiece);
set_piece(Square("c8"), { Colour::White, Type::King }); set_piece(Square("c8"), { Colour::Black, Type::King });
set_piece(Square("d8"), { Colour::White, Type::Rook }); set_piece(Square("d8"), { Colour::Black, Type::Rook });
return true; return true;
} else if (move.to == Square("h8") || move.to == Square("g8")) { } else if (move.to == Square("h8") || move.to == Square("g8")) {
set_piece(Square("e8"), EmptyPiece); set_piece(Square("e8"), EmptyPiece);
@ -463,6 +463,23 @@ bool Board::apply_illegal_move(const Move& move, Colour colour)
return true; return true;
} }
Move Board::random_move(Colour colour) const
{
if (colour == Colour::None)
colour = turn();
Move move = { { 50, 50 }, { 50, 50 } };
int probability = 1;
generate_moves([&](Move m) {
if (rand() % probability == 0)
move = m;
++probability;
return IterationDecision::Continue;
});
return move;
}
Board::Result Board::game_result() const Board::Result Board::game_result() const
{ {
bool sufficient_material = false; bool sufficient_material = false;
@ -533,6 +550,65 @@ Board::Result Board::game_result() const
return Result::StaleMate; return Result::StaleMate;
} }
Colour Board::game_winner() const
{
if (game_result() == Result::CheckMate)
return opposing_colour(turn());
return Colour::None;
}
int Board::game_score() const
{
switch (game_winner()) {
case Colour::White:
return +1;
case Colour::Black:
return -1;
case Colour::None:
return 0;
}
return 0;
}
bool Board::game_finished() const
{
return game_result() != Result::NotFinished;
}
int Board::material_imbalance() const
{
int imbalance = 0;
Square::for_each([&](Square square) {
int value = 0;
switch (get_piece(square).type) {
case Type::Pawn:
value = 1;
break;
case Type::Knight:
case Type::Bishop:
value = 3;
break;
case Type::Rook:
value = 5;
break;
case Type::Queen:
value = 9;
break;
default:
break;
}
if (get_piece(square).colour == Colour::White) {
imbalance += value;
} else {
imbalance -= value;
}
return IterationDecision::Continue;
});
return imbalance;
}
bool Board::is_promotion_move(const Move& move, Colour colour) const bool Board::is_promotion_move(const Move& move, Colour colour) const
{ {
if (colour == Colour::None) if (colour == Colour::None)

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@ -135,7 +135,12 @@ public:
template<typename Callback> template<typename Callback>
void generate_moves(Callback callback, Colour colour = Colour::None) const; void generate_moves(Callback callback, Colour colour = Colour::None) const;
Move random_move(Colour colour = Colour::None) const;
Result game_result() const; Result game_result() const;
Colour game_winner() const;
int game_score() const;
bool game_finished() const;
int material_imbalance() const;
Colour turn() const { return m_turn; } Colour turn() const { return m_turn; }
const Vector<Move>& moves() const { return m_moves; } const Vector<Move>& moves() const { return m_moves; }