Implement Advanced Evaluation Function

naderabdalghani · Dec 27, 2020 · 82b386a · 82b386a
1 parent 37adca4
commit 82b386a
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Showing 2 changed files with 9 additions and 5 deletions.
diff --git a/agent.py b/agent.py
@@ -70,7 +70,7 @@ def alpha_beta_pruning(self, game, depth, player, opponent, alpha=float('-inf'),
             if self.evaluation_fn == "simple":
                 game.simple_evaluation_fn()
             else:
-                game.advanced_evaluation_fn()
+                game.advanced_evaluation_fn(player)
             return game.last_move
         if player == MAXIMIZING_PLAYER:
             max_evaluation = Move(value=float('-inf'))
@@ -81,7 +81,7 @@ def alpha_beta_pruning(self, game, depth, player, opponent, alpha=float('-inf'),
                     if self.evaluation_fn == "simple":
                         temp_game.simple_evaluation_fn()
                     else:
-                        temp_game.advanced_evaluation_fn()
+                        temp_game.advanced_evaluation_fn(player)
                     move.value = temp_game.last_move.value
                     del temp_game
                 possible_moves = sorted(possible_moves, key=lambda x: x.value, reverse=True)
@@ -108,7 +108,7 @@ def alpha_beta_pruning(self, game, depth, player, opponent, alpha=float('-inf'),
                     if self.evaluation_fn == "simple":
                         temp_game.simple_evaluation_fn()
                     else:
-                        temp_game.advanced_evaluation_fn()
+                        temp_game.advanced_evaluation_fn(player)
                     move.value = temp_game.last_move.value
                     del temp_game
                 possible_moves = sorted(possible_moves, key=lambda x: x.value)

diff --git a/othello.py b/othello.py
@@ -145,5 +145,9 @@ def simple_evaluation_fn(self):
             else:
                 self.last_move.value = -100
 
-    def advanced_evaluation_fn(self):
-        pass
+    def advanced_evaluation_fn(self, player):
+        moves = self.move_generator(player)
+        number_of_moves = len(moves)
+        if player == MAXIMIZING_PLAYER:
+            self.last_move.value = number_of_moves
+        self.last_move.value = -number_of_moves