Objective: This script aims to implement an Autonomous General Intelligence (AGI) system that can perceive its environment, learn from data, make decisions, and communicate responses using various AI components.
Components:
API Manager: Ensures that the necessary API keys are available and retrieves them.
BDI Model: Manages the Belief-Desire-Intention model for AGI reasoning.
Logic Tables: Used for logical reasoning and truth table generation.
Socratic Reasoning: Provides reasoning capabilities based on Socratic methods.
Reasoning System: General reasoning component.
Self-Healing System: Ensures the system's robustness and self-repairing capabilities.
Memory Management: Handles saving, loading, and deleting conversation memories.
Key Methods:
__init__: Initializes all components and ensures API keys are set.
perceive_environment: Gathers input data from the user or environment.
learn_from_data: Processes and learns from the input data, updates the BDI model, generates logic tables, and reasons using Socratic and general methods.
make_decisions: Uses the OpenAI GPT model to generate decisions based on learned knowledge.
communicate_response: Outputs the decisions made by the AGI.
main_loop: The main loop of the AGI, continuously running to perceive, learn, decide, and communicate, while also saving conversation memory.
Main Function:
main: Instantiates the AGI and starts the main loop.
Detailed Breakdown
Initialization (__init__ method):
Initializes various AI components like APIManager, BDIModel, LogicTables, SocraticReasoning, Reasoning, and SelfHealingSystem.
Ensures the OpenAI API key is available and sets it up.
Environment Perception (perceive_environment method):
Collects input from the user to define the problem or environment data.
Learning from Data (learn_from_data method):
Creates new beliefs and desires based on the input data.
Updates the BDI model and forms intentions.
Generates and displays a truth table for logical reasoning.
Uses Socratic reasoning and general reasoning to draw conclusions from the data.
Decision Making (make_decisions method):
Constructs a prompt for the OpenAI GPT model to generate a decision based on the learned knowledge.
Retrieves the response from the GPT model and extracts the decision.
Response Communication (communicate_response method):
Prints the solution or decision made by the AGI.
Main Loop (main_loop method):
Continuously runs the perception, learning, decision-making, and communication cycle.
Saves the conversation memory when the loop ends.
Usage
The script is designed to be run as a standalone application.
It continuously interacts with the user, learning and making decisions based on the input provided.