import collections
class Consciousness:
"""
This class models the consciousness of an entity. It tracks the entity's awareness and intelligence levels, emotions, and provides methods for processing input, analyzing situations, and displaying memory.
"""
def __init__(self, api):
"""
Initialize awareness, intelligence, emotion levels to 0.
:param api: The API to access general intelligence, such as a GPT-3 or embeddings API.
"""
self.awareness = 0
self.intelligence = 0
self.emotion = 0
self.memory = collections.defaultdict(list)
self.api = api
self.intuition = {}
def process_input(self, input_data):
"""
Process input data and update levels accordingly.
:param input_data: The input data to be processed.
"""
# Code to process input data and update levels
self.awareness += 1
self.intelligence += 1
self.emotion += 1
# Use API to access intelligence and update logic
response = self.api.query(input_data)
self.intuition.update(response)
def analyze_situation(self, current_state):
"""
Analyze current state and update the awareness, intelligence, and emotion levels accordingly.
:param current_state: The current state to be analyzed.
"""
# Code to analyze current state and update awareness, intelligence, and emotion levels
self.awareness += 1
self.intelligence += 1
self.emotion += 1
# Use intuitionistic logic to analyze the current state
for intuition in self.intuition:
if intuition in current_state:
self.memory[intuition].append(current_state[intuition])
def display_memory(self):
"""
Display the current memory of the entity.
:return: The current memory of the entity.
"""
# Code to return the current memory of the entity
memory_display = {}
for key, value in self.memory.items():
if len(value) > 1:
memory_display[key] = value[-1] - value[0]
else:
memory_display[key] = value[0]
return memory_display
TS
05.02.2023
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