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| @ -85,7 +85,7 @@ class SimulationEngine: | ||||
|                 y = random.randint(-half_height // 2, half_height // 2) | ||||
|                 world.add_object(FoodObject(Position(x=x, y=y))) | ||||
| 
 | ||||
|         for _ in range(350): | ||||
|         for _ in range(300): | ||||
|             new_cell = DefaultCell( | ||||
|                 Position(x=random.randint(-half_width // 2, half_width // 2), y=random.randint(-half_height // 2, half_height // 2)), | ||||
|                 Rotation(angle=0) | ||||
|  | ||||
| @ -350,7 +350,7 @@ class DefaultCell(BaseEntity): | ||||
| 
 | ||||
|         movement_cost = abs(output_data["angular_acceleration"]) + abs(output_data["linear_acceleration"]) | ||||
| 
 | ||||
|         self.energy -= (self.behavioral_model.neural_network.network_cost * 0.1) + 1 + (0.2 * movement_cost) | ||||
|         self.energy -= (self.behavioral_model.neural_network.network_cost * 0.15) + 1 + (0.3 * movement_cost) | ||||
| 
 | ||||
|         return self | ||||
| 
 | ||||
|  | ||||
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