def update_explore_influence(self, explore_influence):
if self.explore_method == 'cluster':
debug_logger.debug('update_explore_influence == cluster')
self.update_explore_influence_cluster(explore_influence)
else:
debug_logger.debug('update_explore_influence == expansion')
self.update_explore_influence_expansion(explore_influence)
def update_explore_influence(self, explore_influence):
# my explorers
for ant_loc in [ant for ant in self.gamestate.my_ants()
if ant not in self.gamestate.my_fighters] :
neighbour_ants = [ant for ant in self.gamestate.neighbour_table[ant_loc] if ant in self.gamestate.ant_list]
explore_influence.map[ant_loc] += self.my_explorer_value * (len(neighbour_ants) + 1)
# my fighters
debug_logger.debug('update_explore_influence setting my fighters: %s' % str(self.gamestate.my_fighters))
for ant_loc in self.gamestate.my_fighters:
explore_influence.map[ant_loc] += self.my_fighter_value
def update_explore_influence(self, explore_influence):
# visible tiles
for row in range(self.gamestate.rows):
for col in range(self.gamestate.cols):
if self.gamestate.visible((row,col)):
explore_influence.map[row,col] += self.my_explorer_value
# my fighters
debug_logger.debug('update_explore_influence setting my fighters: %s' % str(self.gamestate.my_fighters))
for ant_loc in self.gamestate.my_fighters:
explore_influence.map[ant_loc] += self.my_fighter_value
def update_explore_influence_expansion(self, explore_influence):
# my explorers
for ant_loc in [ant for ant in self.gamestate.my_ants()
if ant not in self.gamestate.my_fighters
and ant not in self.gamestate.my_combat_explorers] :
neighbour_ants = [ant for ant in self.gamestate.neighbour_table[ant_loc] if ant in self.gamestate.ant_list]
explore_influence.map[ant_loc] += self.my_explorer_value * (len(neighbour_ants) + 1)
# my fighters
debug_logger.debug('update_explore_influence setting my fighters: %s' % str(self.gamestate.my_fighters))
for ant_loc in self.gamestate.my_fighters:
explore_influence.map[ant_loc] += self.my_fighter_value
def update_explore_influence_cluster(self, explore_influence):
# visible tiles
for row in range(self.gamestate.rows):
for col in range(self.gamestate.cols):
if self.gamestate.visible((row,col)):
self.safe_belief[row,col] = 1
else:
self.safe_belief[row,col] -= 0.1
explore_influence.map[row,col] += self.my_explorer_value * self.safe_belief[row,col]
# my explorers
for ant_loc in [ant for ant in self.gamestate.my_ants()
if ant not in self.gamestate.my_fighters
and ant not in self.gamestate.my_combat_explorers] :
explore_influence.map[ant_loc] += self.my_explorer_value * 0.1
# my fighters
debug_logger.debug('update_explore_influence setting my fighters: %s' % str(self.gamestate.my_fighters))
for ant_loc in self.gamestate.my_fighters:
explore_influence.map[ant_loc] += self.my_fighter_value
def update_aggressiveness(self, influence):
'update dynamic goal values depending on current situation'
# assess situation
my_tile_count = len([v for v in np.ravel(np.fabs(influence.map)) if v > 0.01])
total_tile_count = self.gamestate.cols * self.gamestate.rows
self.gamestate.winning_percentage = float(my_tile_count)/total_tile_count
debug_logger.debug('currently owning %d in %d tiles, ratio: %f' %
(my_tile_count, total_tile_count, self.gamestate.winning_percentage))
debug_logger.debug('my ant_hill is at %s' % str(self.gamestate.my_hills()))
debug_logger.debug('known enemy hill: %s' % str(self.gamestate.enemy_hills()))
# alter aggressiveness as situation changes
self.my_fighter_value = 0 - 1 - (self.gamestate.winning_percentage / 0.3 % 1)
self.enemy_ant_value = 0 - (self.gamestate.winning_percentage / 0.3 % 1) * 2
def update_aggressiveness(self, influence):
"update dynamic goal values depending on current situation"
# assess situation
my_tile_count = len([v for v in np.ravel(influence.map) if v > CUTOFF])
total_tile_count = self.gamestate.cols * self.gamestate.rows
self.gamestate.winning_percentage = float(my_tile_count) / total_tile_count
debug_logger.debug(
"currently owning %d in %d tiles, ratio: %f"
% (my_tile_count, total_tile_count, self.gamestate.winning_percentage)
)
debug_logger.debug("my ant_hill is at %s" % str(self.gamestate.my_hills()))
debug_logger.debug("known enemy hill: %s" % str(self.gamestate.enemy_hills()))
# alter aggressiveness as situation changes
# self.my_fighter_value = 0 - 1 - (self.gamestate.winning_percentage / 0.3 % 1)
# self.enemy_ant_value = 0 - (self.gamestate.winning_percentage / 0.3 % 1) * 2
self.enemy_hill_value = -15 + -15 * int(self.gamestate.winning_percentage / 0.2)
def update_aggressiveness(self, influence):
'update dynamic goal values depending on current situation'
# assess situation
my_tile_count = len([v for v in np.ravel(influence.map) if v > CUTOFF])
total_tile_count = self.gamestate.cols * self.gamestate.rows
self.gamestate.winning_percentage = float(my_tile_count)/total_tile_count
debug_logger.debug('currently owning %d in %d tiles, ratio: %f' %
(my_tile_count, total_tile_count, self.gamestate.winning_percentage))
debug_logger.debug('my ant_hill is at %s' % str(self.gamestate.my_hills()))
debug_logger.debug('known enemy hill: %s' % str(self.gamestate.enemy_hills()))
# alter aggressiveness as situation changes
# self.my_fighter_value = 0 - 1 - (self.gamestate.winning_percentage / 0.3 % 1)
# self.enemy_ant_value = 0 - (self.gamestate.winning_percentage / 0.3 % 1) * 2
self.enemy_hill_value = -15 + -15 * int(self.gamestate.winning_percentage / 0.2)
self.enemy_ant_value = -1 * int(self.gamestate.winning_percentage / 0.2)
if self.gamestate.winning_percentage > 0.2:
self.explore_method = 'cluster'
else:
self.explore_method = 'expansion'