# Tests
if __name__ == '__main__':
from cultural_network import CulturalGroup
from internal_state import InternalState, BiologyCultureFeelings
# Memories
MEMORIES_COUNT = 6
memories = [CulturalGroup() for i in range(MEMORIES_COUNT)]
import random
bcf = []
for i in range(MEMORIES_COUNT):
memories[i].bum()
memories[i].learn(i)
bcf.append(BiologyCultureFeelings())
new_state = [random.random(), random.random(), random.random()]
bcf[i].set_state(new_state)
memories[i].clack(bcf[i])
print("Memory ", i, " bcf is",
memories[i].get_tail_knowledge().get_state())
d_block = DecisionsBlock()
internal_state = InternalState()
internal_state.set_state([0.5, 1, 1])
d_block.set_internal_state(internal_state)
desired_state = InternalState()
desired_state.set_state([0.5, 1, 1])
d_block.set_desired_state(desired_state)
d_block.set_input_memories(memories)
output = d_block.get_output_memory()
def _clack_episodes(self):
episode_bcf = BiologyCultureFeelings(self.internal_state.get_state())
self.episodic_memory.clack(episode_bcf)
EpisodicMemoriesBlock.serialize(self.episodic_memory,
"persistent_memory/episodic_memory.p")
retval = ConsciousDecisionsBlock()
return retval
## @}
#
# Tests
if __name__ == '__main__':
cdb = ConsciousDecisionsBlock()
# FREE WILL DECISIONS 20% of the time
# Inputs
i0 = BiologyCultureFeelings([0.5,0.9,0.9])
i1 = BiologyCultureFeelings([0.5,0.9,0.9])
i2 = BiologyCultureFeelings([0.4,0.7,0.9])
inputs = [i0, i1, i2]
cdb.set_inputs(inputs)
cdb.internal_state.set_state([0.5,0.5,0.5])
# Show free will decisions
print('-'*60)
print('FREE WILL')
print 'Inputs: ', inputs[0].get_state(), inputs[1].get_state(), inputs[2].get_state()
for i in range(10):
cdb.set_inputs(inputs)
d = cdb.get_decision()
print "Decision is: ", d, " made by ", cdb.get_last_decision_type()
def _clack_episodes(self):
episode_bcf = BiologyCultureFeelings(self.internal_state.get_state())
self.episodic_memory.clack(episode_bcf)
EpisodicMemoriesBlock.serialize(self.episodic_memory,
"episodic_memory", self.project_id)