ufo_learning module

UFO Learning and Adaptation System.

This module implements the learning algorithms for UFO Intelligence, enabling the AI to adapt behavior based on user interactions and environmental feedback.

The learning system manages:

  • Interaction-based preference learning

  • Sensor data processing and pattern recognition

  • Color and mode preference tracking

  • Behavioral reinforcement from user responses

  • College spirit engagement learning

  • Long-term memory integration for persistent adaptation

Classes:

UFOLearningSystem: Implements learning algorithms and preference adaptation

Example

>>> from ufo_memory_manager import UFOMemoryManager
>>> from ufo_college_system import UFOCollegeSystem
>>> memory = UFOMemoryManager(persistent=True)
>>> college = UFOCollegeSystem(enabled=True, college="penn_state")
>>> learning = UFOLearningSystem(memory, college)
>>> learning.process_interaction("tap", color_mode=1)
Author:

Charles Doebler at Feral Cat AI

Dependencies:

  • ufo_memory_manager

  • ufo_college_system

Note

Learning effectiveness improves with persistent memory enabled, allowing preferences to accumulate across power cycles.

class ufo_learning.UFOLearningSystem(memory_manager, college_system)

Bases: object

cleanup_memory()

Clean up learning memory when low on resources.

collect_sensor_data_enhanced(audio_processor, hardware, sound_enabled, chant_detection_enabled)

Enhanced sensor data collection - audio input ALWAYS active, chant detection optional.

update_learning(ai_core)

Update learning based on recent interactions.