Upload __init__ (9).py

__init__ (9).py

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+import random
+import json
+import os
+
+# -------------------------------
+# Mind Memory
+# -------------------------------
+MIND_MEMORY_FILE = 'mind_talk_memory.json'
+
+if os.path.exists(MIND_MEMORY_FILE):
+    with open(MIND_MEMORY_FILE, 'r') as f:
+        mind_memory = json.load(f)
+else:
+    mind_memory = []
+
+# -------------------------------
+# Mind Talk Functions
+# -------------------------------
+def perceive_environment():
+    """
+    Simulate sensory perception or problem
+    """
+    return random.choice(['Obstacle ahead', 'Path clear', 'Need to sit', 'Need to move forward'])
+
+def generate_inner_thoughts(perception):
+    """
+    AI generates internal dialogue based on perception
+    """
+    thoughts = [
+        f"Hmm, I see: {perception}. Should I act now?",
+        f"Considering options for: {perception}.",
+        f"Maybe I should wait or proceed with caution.",
+        f"Analyzing outcome if I take action for: {perception}."
+    ]
+    return random.choice(thoughts)
+
+def evaluate_decision():
+    """
+    Simulate inner reasoning / choice evaluation
+    """
+    options = ['Act', 'Wait', 'Observe', 'Change direction']
+    scores = {option: random.uniform(0, 10) for option in options}
+    decision = max(scores, key=scores.get)
+    return decision, scores
+
+def reflect_on_decision(decision, scores):
+    """
+    Generate self-reflection text
+    """
+    reflection = f"Decision '{decision}' chosen with score {scores[decision]:.2f}. Considering pros and cons..."
+    return reflection
+
+def save_mind_memory(perception, thought, decision, reflection):
+    mind_memory.append({
+        'perception': perception,
+        'thought': thought,
+        'decision': decision,
+        'reflection': reflection
+    })
+    with open(MIND_MEMORY_FILE, 'w') as f:
+        json.dump(mind_memory, f, indent=4)
+
+# -------------------------------
+# Mind Talk Loop
+# -------------------------------
+def mind_talk_loop():
+    # Step 1: Perceive
+    perception = perceive_environment()
+    
+    # Step 2: Inner thoughts
+    thought = generate_inner_thoughts(perception)
+    print(f"[Mind Thought]: {thought}")
+    
+    # Step 3: Evaluate decision
+    decision, scores = evaluate_decision()
+    print(f"[Decision Evaluation]: {scores}")
+    
+    # Step 4: Reflect
+    reflection = reflect_on_decision(decision, scores)
+    print(f"[Reflection]: {reflection}")
+    
+    # Step 5: Save memory
+    save_mind_memory(perception, thought, decision, reflection)
+    
+    return decision
+
+# -------------------------------
+# Run Mind Talk Example
+# -------------------------------
+if __name__ == "__main__":
+    for _ in range(5):
+        decision = mind_talk_loop()
+        print(f"[Final Decision]: {decision}\n")