https://github.com/user2745/generic-intellligence-system

https://github.com/user2745/generic-intellligence-system

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• Host: GitHub
• URL: https://github.com/user2745/generic-intellligence-system
• Owner: user2745
• Created: 2024-12-25T21:04:14.000Z (about 1 month ago)
• Default Branch: master
• Last Pushed: 2024-12-25T22:00:12.000Z (about 1 month ago)
• Last Synced: 2024-12-25T22:26:39.957Z (about 1 month ago)
• Language: Python
• Size: 5.86 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Generic Intelligence System

## Overview

The Generic Intelligence System is a modular and real-time intelligence framework that gathers context from multiple sources, evaluates decisions, and executes actions autonomously. It simulates how intelligence systems operate by combining **Contextual Engines**, **Decision-Making Units (DMUs)**, and an **Action Engine** into one cohesive system.

### Features

- **Contextual Engines**: Gather real-time data from APIs (e.g., weather, system performance).

- **Decision-Making Units**: Analyze context and make decisions based on predefined logic.

- **Action Engine**: Executes decisions and performs actions based on outputs.

- **Real-Time Operation**: Continuously processes live data in an autonomous loop.

- **Modular Design**: Easy to add new contextual engines, decision units, or actions.

---

## How It Works

### Workflow

1. **Gather Context**:

   - Contextual engines fetch data from APIs.

   - Example: Weather and system performance data.

2. **Make Decisions**:

   - Decision units evaluate context to generate actionable insights.

   - Example: Reduce system load if CPU usage is high.

3. **Execute Actions**:

   - The action engine carries out the decisions.

   - Example: Notify the user or adjust system settings.

---

### Example Run

#### Input

- Weather API returns `{'weather': 'Rainy'}`.

- System API returns `{'cpu_usage': 85, 'memory_usage': 45}`.

#### Output

```plaintext

--- Gathering Context ---

Weather Context: {'weather': 'Rainy'}

System Context: {'cpu_usage': 85, 'memory_usage': 45'}

--- Making Decisions ---

Load Decision: Reduce non-critical tasks

Alert Decision: Notify: Carry an umbrella

--- Executing Actions ---

Executing: Reduce non-critical tasks

Executing: Notify: Carry an umbrella

Actions completed.

# Notes:  The code is deceptively simple, but this is a real-life framework for complex intelligence systems that take contextual information, think through different decisions and take action.  tldr: this thing 'thinks' & does 'stuff', autonomously.