五子棋ai算法代码c语言
时间: 2024-09-04 11:00:38 浏览: 133
五子棋AI算法的C语言实现通常会采用搜索算法如Minimax、Alpha-Beta剪枝或者更高级的 Monte Carlo Tree Search (MCTS)。以下是简化的步骤:
1. **游戏规则理解**:首先要理解五子棋的基本规则,包括黑白两方交替落子,先连成五个同色棋子的一方获胜。
2. **状态空间表示**:C语言中可以使用二维数组或结构体来表示棋盘状态,每个位置存储是否被黑子或白子占据。
3. **搜索函数**:编写一个搜索函数,如Minimax,该函数递归地评估所有可能的下一步,并选择得分最高的走法。对于Minimax,它会计算当前节点的最大最小值。
4. **剪枝优化**:Alpha-Beta剪枝用于避免不必要的搜索分支,通过比较两个节点的最优分数来减少计算量。
5. **启发式评估函数**:为了提高效率,可以添加一些启发式规则,比如考虑棋型价值,临近已方棋子等。
6. **随机模拟**:MCTS则结合了随机性,通过多次模拟随机走棋来近似真实游戏环境下的决策。
7. **博弈循环**:在实际游戏中,用户和AI轮流出招,AI根据搜索结果判断最佳行动。
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c语言五子棋ai算法代码
下面是一个简单的 C 语言五子棋 AI 算法代码示例,使用了极大极小值算法和 alpha-beta 剪枝优化:
```c
#include <stdio.h>
#include <stdbool.h>
#define BOARD_SIZE 15
// 棋盘
int board[BOARD_SIZE][BOARD_SIZE];
// 棋子颜色
#define EMPTY 0
#define BLACK 1
#define WHITE 2
// 赢法数组
int wins[BOARD_SIZE][BOARD_SIZE][572];
int win_count = 0;
// 落子得分数组
int score[BOARD_SIZE][BOARD_SIZE];
// 初始化赢法数组
void init_wins() {
// 横向赢法
for (int i = 0; i < BOARD_SIZE; i++) {
for (int j = 0; j < BOARD_SIZE - 4; j++) {
for (int k = 0; k < 5; k++) {
wins[i][j + k][win_count] = 1;
}
win_count++;
}
}
// 竖向赢法
for (int i = 0; i < BOARD_SIZE; i++) {
for (int j = 0; j < BOARD_SIZE - 4; j++) {
for (int k = 0; k < 5; k++) {
wins[j + k][i][win_count] = 1;
}
win_count++;
}
}
// 斜向赢法
for (int i = 0; i < BOARD_SIZE - 4; i++) {
for (int j = 0; j < BOARD_SIZE - 4; j++) {
for (int k = 0; k < 5; k++) {
wins[i + k][j + k][win_count] = 1;
}
win_count++;
}
}
// 反斜向赢法
for (int i = 0; i < BOARD_SIZE - 4; i++) {
for (int j = BOARD_SIZE - 1; j >= 4; j--) {
for (int k = 0; k < 5; k++) {
wins[i + k][j - k][win_count] = 1;
}
win_count++;
}
}
}
// 初始化落子得分数组
void init_score() {
for (int i = 0; i < BOARD_SIZE; i++) {
for (int j = 0; j < BOARD_SIZE; j++) {
score[i][j] = 0;
}
}
}
// 计算某个位置的落子得分
int calculate_score(int x, int y, int color) {
int score = 0;
for (int i = 0; i < win_count; i++) {
if (wins[x][y][i]) {
if (board[x][y] == color) {
score += 10;
} else if (board[x][y] == EMPTY) {
if (wins[x][y][i] == 1) {
score += 1;
} else if (wins[x][y][i] == 2) {
score += 5;
} else if (wins[x][y][i] == 3) {
score += 100;
} else if (wins[x][y][i] == 4) {
score += 1000;
}
}
}
}
return score;
}
// 计算所有位置的落子得分
void calculate_all_score(int color) {
for (int i = 0; i < BOARD_SIZE; i++) {
for (int j = 0; j < BOARD_SIZE; j++) {
if (board[i][j] == EMPTY) {
score[i][j] = calculate_score(i, j, color);
}
}
}
}
// 判断是否胜利
bool is_win(int x, int y, int color) {
for (int i = 0; i < win_count; i++) {
if (wins[x][y][i]) {
bool win = true;
for (int j = 0; j < 5; j++) {
if (board[x][y] != color) {
win = false;
break;
}
}
if (win) {
return true;
}
}
}
return false;
}
// 极大极小值算法
int alpha_beta(int depth, int alpha, int beta, int color) {
if (depth == 0) {
return 0;
}
calculate_all_score(color);
// 极大值节点
if (color == BLACK) {
int max_score = -1000000;
for (int i = 0; i < BOARD_SIZE; i++) {
for (int j = 0; j < BOARD_SIZE; j++) {
if (board[i][j] == EMPTY) {
if (is_win(i, j, BLACK)) {
return 1000000;
}
int s = score[i][j];
if (s > 0) {
board[i][j] = BLACK;
int v = alpha_beta(depth - 1, alpha, beta, WHITE);
board[i][j] = EMPTY;
if (v > max_score) {
max_score = v;
}
if (v > alpha) {
alpha = v;
}
if (alpha >= beta) {
return max_score;
}
}
}
}
}
return max_score;
}
// 极小值节点
else {
int min_score = 1000000;
for (int i = 0; i < BOARD_SIZE; i++) {
for (int j = 0; j < BOARD_SIZE; j++) {
if (board[i][j] == EMPTY) {
if (is_win(i, j, WHITE)) {
return -1000000;
}
int s = score[i][j];
if (s > 0) {
board[i][j] = WHITE;
int v = alpha_beta(depth - 1, alpha, beta, BLACK);
board[i][j] = EMPTY;
if (v < min_score) {
min_score = v;
}
if (v < beta) {
beta = v;
}
if (beta <= alpha) {
return min_score;
}
}
}
}
}
return min_score;
}
}
// AI 下棋
void ai_move(int *x, int *y) {
int max_score = -1000000;
for (int i = 0; i < BOARD_SIZE; i++) {
for (int j = 0; j < BOARD_SIZE; j++) {
if (board[i][j] == EMPTY) {
int s = score[i][j];
if (s > 0) {
board[i][j] = BLACK;
int v = alpha_beta(5, -1000000, 1000000, WHITE);
board[i][j] = EMPTY;
if (v > max_score) {
max_score = v;
*x = i;
*y = j;
}
}
}
}
}
}
int main() {
// 初始化棋盘
for (int i = 0; i < BOARD_SIZE; i++) {
for (int j = 0; j < BOARD_SIZE; j++) {
board[i][j] = EMPTY;
}
}
// 初始化赢法数组
init_wins();
// 主循环
while (true) {
// AI 下棋
int x, y;
ai_move(&x, &y);
board[x][y] = BLACK;
printf("AI: (%d, %d)\n", x, y);
// 打印棋盘
for (int i = 0; i < BOARD_SIZE; i++) {
for (int j = 0; j < BOARD_SIZE; j++) {
printf("%c ", board[i][j] == EMPTY ? '+' : (board[i][j] == BLACK ? 'X' : 'O'));
}
printf("\n");
}
// 判断胜负
if (is_win(x, y, BLACK)) {
printf("AI win!\n");
break;
}
// 玩家下棋
printf("Enter your move (e.g. 7 7): ");
int px, py;
scanf("%d %d", &px, &py);
board[px][py] = WHITE;
// 判断胜负
if (is_win(px, py, WHITE)) {
printf("You win!\n");
break;
}
}
return 0;
}
```
注意,这是一个非常简单的示例代码,实际应用中可能需要更复杂和更高效的算法。
写出C语言五子棋的算法代码
以下是一个简单的五子棋AI算法的C语言代码示例,采用的是极大极小搜索算法:
```c
#include <stdio.h>
#include <stdlib.h>
#define ROWS 15 // 棋盘行数
#define COLS 15 // 棋盘列数
#define BLACK 1 // 黑子
#define WHITE 2 // 白子
#define EMPTY 0 // 空格
int board[ROWS][COLS]; // 棋盘数组
int player; // 玩家(黑子或白子)
int ai; // AI(黑子或白子)
// 初始化棋盘
void init_board() {
int i, j;
for (i = 0; i < ROWS; i++) {
for (j = 0; j < COLS; j++) {
board[i][j] = EMPTY;
}
}
}
// 打印棋盘
void print_board() {
int i, j;
printf(" ");
for (i = 0; i < COLS; i++) {
printf("%d ", i);
}
printf("\n");
for (i = 0; i < ROWS; i++) {
printf("%d ", i);
for (j = 0; j < COLS; j++) {
if (board[i][j] == EMPTY) {
printf("+ ");
} else if (board[i][j] == BLACK) {
printf("@ ");
} else {
printf("O ");
}
}
printf("\n");
}
}
// 判断是否赢了
int win(int x, int y, int player) {
int i, j;
int count;
// 判断横向是否连成五子
count = 0;
for (j = y - 4; j <= y; j++) {
if (j < 0 || j > COLS - 5) {
continue;
}
if (board[x][j] == player &&
board[x][j+1] == player &&
board[x][j+2] == player &&
board[x][j+3] == player &&
board[x][j+4] == player) {
return 1;
}
}
// 判断纵向是否连成五子
count = 0;
for (i = x - 4; i <= x; i++) {
if (i < 0 || i > ROWS - 5) {
continue;
}
if (board[i][y] == player &&
board[i+1][y] == player &&
board[i+2][y] == player &&
board[i+3][y] == player &&
board[i+4][y] == player) {
return 1;
}
}
// 判断右上方是否连成五子
count = 0;
for (i = x + 4, j = y - 4; i >= 0 && i <= ROWS - 5 && j >= 0 && j <= COLS - 5; i--, j++) {
if (board[i][j] == player &&
board[i-1][j+1] == player &&
board[i-2][j+2] == player &&
board[i-3][j+3] == player &&
board[i-4][j+4] == player) {
return 1;
}
}
// 判断右下方是否连成五子
count = 0;
for (i = x - 4, j = y - 4; i <= x && i >= 0 && j <= y && j >= 0; i++, j++) {
if (board[i][j] == player &&
board[i+1][j+1] == player &&
board[i+2][j+2] == player &&
board[i+3][j+3] == player &&
board[i+4][j+4] == player) {
return 1;
}
}
return 0;
}
// 估值函数
int score(int x, int y, int player) {
int i, j;
int count;
int score = 0;
// 判断横向是否连成五子
count = 0;
for (j = y - 4; j <= y; j++) {
if (j < 0 || j > COLS - 5) {
continue;
}
for (i = x; i <= x + 4; i++) {
if (board[i][j] == player) {
count++;
}
}
if (count == 5) {
score += 100;
} else if (count == 4) {
score += 10;
}
count = 0;
}
// 判断纵向是否连成五子
count = 0;
for (i = x - 4; i <= x; i++) {
if (i < 0 || i > ROWS - 5) {
continue;
}
for (j = y; j <= y + 4; j++) {
if (board[i][j] == player) {
count++;
}
}
if (count == 5) {
score += 100;
} else if (count == 4) {
score += 10;
}
count = 0;
}
// 判断右上方是否连成五子
count = 0;
for (i = x + 4, j = y - 4; i >= 0 && i <= ROWS - 5 && j >= 0 && j <= COLS - 5; i--, j++) {
for (int k = 0; k < 5; k++) {
if (board[i-k][j+k] == player) {
count++;
}
}
if (count == 5) {
score += 100;
} else if (count == 4) {
score += 10;
}
count = 0;
}
// 判断右下方是否连成五子
count = 0;
for (i = x - 4, j = y - 4; i <= x && i >= 0 && j <= y && j >= 0; i++, j++) {
for (int k = 0; k < 5; k++) {
if (board[i+k][j+k] == player) {
count++;
}
}
if (count == 5) {
score += 100;
} else if (count == 4) {
score += 10;
}
count = 0;
}
return score;
}
// 极大极小搜索算法
int min_max_search(int depth, int alpha, int beta) {
int i, j;
int best_score = -99999;
int score;
int x, y;
if (depth == 0) {
return score;
}
// 极大层
if (player == ai) {
for (i = 0; i < ROWS; i++) {
for (j = 0; j < COLS; j++) {
if (board[i][j] == EMPTY) {
board[i][j] = ai;
score = score(i, j, ai);
if (win(i, j, ai)) {
board[i][j] = EMPTY;
return 99999;
} else {
score += min_max_search(depth - 1, alpha, beta);
if (score > best_score) {
best_score = score;
x = i;
y = j;
}
board[i][j] = EMPTY;
if (best_score > alpha) {
alpha = best_score;
}
if (alpha >= beta) {
return best_score;
}
}
}
}
}
return best_score;
// 极小层
} else {
for (i = 0; i < ROWS; i++) {
for (j = 0; j < COLS; j++) {
if (board[i][j] == EMPTY) {
board[i][j] = player;
score = score(i, j, player);
if (win(i, j, player)) {
board[i][j] = EMPTY;
return -99999;
} else {
score -= min_max_search(depth - 1, alpha, beta);
if (score < best_score) {
best_score = score;
x = i;
y = j;
}
board[i][j] = EMPTY;
if (best_score < beta) {
beta = best_score;
}
if (alpha >= beta) {
return best_score;
}
}
}
}
}
return best_score;
}
}
// AI下棋
void ai_play() {
int i, j;
int best_score = -99999;
int score;
int x, y;
// 极大极小搜索算法
for (i = 0; i < ROWS; i++) {
for (j = 0; j < COLS; j++) {
if (board[i][j] == EMPTY) {
board[i][j] = ai;
score = score(i, j, ai);
if (win(i, j, ai)) {
board[i][j] = EMPTY;
printf("AI: (%d, %d)\n", j, i);
return;
} else {
score += min_max_search(2, -99999, 99999);
if (score > best_score) {
best_score = score;
x = i;
y = j;
}
board[i][j] = EMPTY;
}
}
}
}
// 下棋
board[x][y] = ai;
printf("AI: (%d, %d)\n", y, x);
}
// 玩家下棋
void player_play() {
int x, y;
printf("Player: ");
scanf("%d %d", &x, &y);
while (board[x][y] != EMPTY) {
printf("Invalid move, please try again.\n");
printf("Player: ");
scanf("%d %d", &x, &y);
}
board[x][y] = player;
}
int main() {
init_board();
printf("Please select a player (1:black, 2:white): ");
scanf("%d", &player);
while (player != BLACK && player != WHITE) {
printf("Invalid input, please try again.\n");
printf("Please select a player (1:black, 2:white): ");
scanf("%d", &player);
}
ai = (player == BLACK) ? WHITE : BLACK;
print_board();
while (1) {
if (player == BLACK) {
player_play();
print_board();
if (win(x, y, player)) {
printf("Player wins!\n");
break;
}
} else {
ai_play();
print_board();
if (win(x, y, ai)) {
printf("AI wins!\n");
break;
}
}
player = (player == BLACK) ? WHITE : BLACK;
}
return 0;
}
```
需要注意的是,以上代码只是一个简单的示例,实际上五子棋AI算法的实现要更加复杂和精细。
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