def __init__(self, use_wasabi, logger):
self.marc = Marc(logger)
self.emo_module = EmoModule(self.marc, use_wasabi, logger)
self.speech_module = SpeechModule(logger)
self.cog_module = CogModule(logger)
self.logger = logger
class Agent:
INIT_EMOTION = 'None'
def __init__(self, use_wasabi, logger):
self.marc = Marc(logger)
self.emo_module = EmoModule(self.marc, use_wasabi, logger)
self.speech_module = SpeechModule(logger)
self.cog_module = CogModule(logger)
self.logger = logger
def start(self):
''' The agents reaction at the beginning of the training
The agent introduces the human solver to the experiment, explaining
the rules of the task.
'''
print 'Agent started'
if Agent.INIT_EMOTION == 'Wasabi':
self.emo_module.start_expressing()
else:
inits = {'Happy': Happy(), 'Neutral': None, 'Angry': Angry()}
self.emo_module.show_static_emotion(inits[Agent.INIT_EMOTION])
self.emo_module.start_hearing()
emotion = self.emo_module.get_primary_emotion()
#speech = self.speech_module.start_list(emotion)
#self.speak(speech)
return (str(emotion), '...', '')
def introduce(self):
''' The agent speaks the introduction text to present the list of words.
'''
emotion = self.emo_module.get_primary_emotion()
speech = self.speech_module.present_list(emotion)
self.speak(speech)
return (str(emotion), '...', speech.text)
def say(self, text):
speech = self.speech_module.get_text(text)
self.speak(speech)
def present_word(self, word, number):
emotion = self.emo_module.get_primary_emotion()
# formulate expection for number
expectation, emo = self.cog_module.formulate_expectation(number)
if emo:
self.emo_module.trigger(emo)
speech = self.speech_module.present_word(word, emotion)
self.speak(speech)
return (str(emotion), expectation, speech.text)
def present_number(self, number):
emotion = self.emo_module.get_primary_emotion()
speech = self.speech_module.present_word(number, emotion)
self.speak(speech)
return (str(emotion), '...', speech.text)
'''
def wait(self, word):
print 'Agent: Waiting ...'
if not self.emo_module.is_dynamic() and self.emo_module.use_wasabi:
self.emo_module.start_expressing()
emotion = self.emo_module.get_primary_emotion()
expectation, emo = self.cog_module.get_expectation(word)
if emo:
self.emo_module.trigger(emo)
return (str(emotion), expectation, '...')
'''
def speak(self, speech):
''' Speaks the given speech via marc or wave file
'''
self.marc.speak(speech)
def evaluate(self, correct):
''' Evalutes the given words regarding to its correctness and time.
Return emotional and verbal output, based on the cognitve,
emotional and verbal evaluation
'''
# cognitive evaluation: Determines surprise and intensity of emotion
expectation = self.cog_module.expectation
cog_react = self.cog_module.resolve_expectation(correct)
# emotional evaluation:
emotion = self.emo_module.check(correct, expectation)
emotion=None
if cog_react:
self.emo_module.trigger(cog_react)
verbal_output = '...'
if correct == 1:
self.marc.headYes()
elif correct == 0:
self.marc.headNo()
return (str(emotion), '...', verbal_output)
