def __possible_turns(self, player_name: int,
board: Board) -> List[Tuple[int, int]]:
"""
Returns possible turns with higher hold probability than a trashold.
(The single turn expectiminimax.)
:param player_name: A name (ID) of the associated player.
:param board: The game board.
:return: Possible turns with higher hold probability than a trashold.
(A list of tuples (atacker area; defender area) sorted by
a weight in descending order.)
"""
if board.nb_players_alive() > self.__ATK_PLAYERS_LIMIT_2:
atk_prob_treshold = self.__ATK_PROB_TRESHOLD_2
atk_from_larges_reg_weight = self.__ATK_FROM_LARGEST_REG_WEIGHT_2
else:
atk_prob_treshold = self.__ATK_PROB_TRESHOLD
atk_from_larges_reg_weight = self.__ATK_FROM_LARGEST_REG_WEIGHT
turns = []
largest_region = self.__largest_region(player_name, board)
for a, b in possible_attacks(board, player_name):
a_name = a.get_name()
b_name = b.get_name()
atk_power = a.get_dice()
p = probability_of_successful_attack(board, a_name, b_name)
p *= probability_of_holding_area(board, b_name, atk_power - 1,
player_name)
if p >= atk_prob_treshold or atk_power == self.__MAX_DICE:
if a_name in largest_region:
p *= atk_from_larges_reg_weight
turns.append((a_name, b_name, p))
turns = sorted(turns, key=lambda t: t[2], reverse=True)
turns = list(map(lambda t: t[:2], turns))
return turns
def __init__(self, player_name: int, board: Board,
players_order: List[int]) -> None:
"""
Constructs the AI agent for the Dice Wars game.
:param player_name: A name (ID) of the associated player.
:param board: A copy of the game board.
:param players_order: An order in which the players take turn. (A list
of players IDs.)
"""
super().__init__()
self.__player_name = player_name
self.__board = board
self.__players_order = players_order
self.__loger = getLogger(self.__LOGGER_NAME)
self.__model = self.__load_model()
nb_players = board.nb_players_alive()
self.__loger.debug(
f'An AI agent for the {nb_players}-player game is set up.'
f' player_name: {player_name}; players_order: {players_order}')
