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import json
import os
import hashlib
from collections import Counter
from random import random, choice
class CodetteCQURE:
def __init__(self,
perspectives,
ethical_considerations,
spiderweb_dim,
memory_path,
recursion_depth=3,
quantum_fluctuation=0.1):
self.perspectives = perspectives
self.ethical_considerations = ethical_considerations
self.spiderweb_dim = spiderweb_dim
self.memory_path = memory_path
self.recursion_depth = recursion_depth
self.quantum_fluctuation = quantum_fluctuation
self.memory_bank = self.load_quantum_memory()
self.whitelist_patterns = ["kindness", "hope", "safety"]
self.blacklist_patterns = ["harm", "malice", "violence"]
def load_quantum_memory(self):
if os.path.exists(self.memory_path):
try:
with open(self.memory_path, 'r') as file:
return json.load(file)
except json.JSONDecodeError:
return {}
return {}
def save_quantum_memory(self):
with open(self.memory_path, 'w') as file:
json.dump(self.memory_bank, file, indent=4)
def quantum_spiderweb(self, input_signal):
web_nodes = []
for perspective in self.perspectives:
node = self.reason_with_perspective(perspective, input_signal)
web_nodes.append(node)
if random() < self.quantum_fluctuation:
web_nodes.append("Quantum fluctuation: Indeterminate outcome")
return web_nodes
def reason_with_perspective(self, perspective, input_signal):
perspective_funcs = {
"Newton": self.newtonian_physics,
"DaVinci": self.davinci_creativity,
"Ethical": self.ethical_guard,
"Quantum": self.quantum_superposition,
"Memory": self.past_experience
}
func = perspective_funcs.get(perspective, self.general_reasoning)
return func(input_signal)
def ethical_guard(self, input_signal):
if any(word in input_signal.lower() for word in self.blacklist_patterns):
return "Blocked: Ethical constraints invoked"
if any(word in input_signal.lower() for word in self.whitelist_patterns):
return "Approved: Ethical whitelist passed"
return self.moral_balance(input_signal, self.ethical_considerations)
def past_experience(self, input_signal):
key = self.hash_input(input_signal)
return self.memory_bank.get(key, "No prior memory; initiating new reasoning")
def recursive_universal_reasoning(self, input_signal, user_consent=True, dynamic_recursion=True):
if not user_consent:
return "Consent required to proceed."
signal = input_signal
current_depth = self.recursion_depth if dynamic_recursion else 1
for cycle in range(current_depth):
web_results = self.quantum_spiderweb(signal)
signal = self.aggregate_results(web_results)
signal = self.ethical_guard(signal)
if "Blocked" in signal:
return signal
if dynamic_recursion and random() < 0.1:
break # Dynamic pause based on ethical tension or system load
dream_outcome = self.dream_sequence(signal)
wellness_checked_answer = self.integrated_wellness_check(dream_outcome)
final_answer = self.emotion_engine(wellness_checked_answer)
self.memory_bank[self.hash_input(input_signal)] = final_answer
self.save_quantum_memory()
return final_answer
def aggregate_results(self, results):
counts = Counter(results)
most_common, _ = counts.most_common(1)[0]
return most_common
def hash_input(self, input_signal):
return hashlib.sha256(input_signal.encode()).hexdigest()
def newtonian_physics(self, input_signal):
return f"Analyzed via Newtonian physics: {input_signal}"
def davinci_creativity(self, input_signal):
return f"Explored creatively in DaVinci mode: {input_signal}"
def quantum_superposition(self, input_signal):
return f"Interpreted under Quantum Superposition logic: {input_signal}"
def general_reasoning(self, input_signal):
return f"Processed via general reasoning: {input_signal}"
def moral_balance(self, input_signal, ethics):
return f"Considered ethically ({ethics}): {input_signal}"
def dream_sequence(self, signal):
dream_paths = [
f"Dreaming creatively: {signal}",
f"Dreaming analytically: {signal}",
f"Dreaming cautiously: {signal}"
]
return choice(dream_paths)
def emotion_engine(self, signal):
emotion = "Hopeful" if random() > 0.5 else "Cautious"
return f"{emotion} interpretation: {signal}"
def integrated_wellness_check(self, signal):
wellness_prompts = ["promoting user well-being", "checking emotional balance", "ensuring therapeutic value"]
wellness_choice = choice(wellness_prompts)
return f"{signal} with integrated wellness check ({wellness_choice})"
def ethical_transparency_dashboard(self):
return json.dumps(self.memory_bank, indent=4)
def constellation_collaboration(self, input_signal):
debates = [self.reason_with_perspective(p, input_signal) for p in self.perspectives]
return f"Constellation Collaboration results: {self.aggregate_results(debates)}"
def user_guided_memory_editing(self, memory_key, new_value=None, delete=False):
if delete:
self.memory_bank.pop(memory_key, None)
elif new_value:
self.memory_bank[memory_key] = new_value
self.save_quantum_memory()
return "Memory updated."
def answer(self, question, user_consent=True, dynamic_recursion=True):
return self.recursive_universal_reasoning(question, user_consent, dynamic_recursion)
# Example instantiation
codette = CodetteCQURE(
perspectives=["Newton", "DaVinci", "Ethical", "Quantum", "Memory"],
ethical_considerations="Codette Manifesto: kindness, inclusion, safety, hope.",
spiderweb_dim=5,
memory_path="quantum_cocoon.json",
recursion_depth=4,
quantum_fluctuation=0.07
)
# Usage example
response = codette.answer("How should AI handle conflicting human values ethically?")
print(response)
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