# Understanding Artificial Intelligence (AI)

AI is a subfield of computer science focused on enabling machines to solve problems like humans. Specialized task AI (e.g., Watson, ChatGPT, Deep Blue) can be categorized into several types:

## Types of AI

### Reactive Machines
- **Definition**: No memory, task-specific.

### Limited Memory
- **Definition**: Uses short-term memory for decisions.

### Theory of Mind AI
- **Definition**: Understands others’ emotions and intentions.

### Self-Aware AI
- **Definition**: Possesses consciousness, self-reflection, and ethical decision-making.

Future developments may redefine or expand these categories.

## Current State of AI

This is the AI level we are currently at today. **Narrow AI**, also called **Weak AI**, is trained to perform a single or defined task, focusing on a specific subset of cognitive abilities.

### Example: IBM Watson
- **Description**: IBM categorizes Watson® as Narrow AI, originally developed to answer questions on the *Jeopardy!* quiz show. It utilizes natural language processing, information retrieval, knowledge representation, reasoning, and machine learning.
- **Achievement**: In 2011, it won first place and received a prize of 1 million dollars.

## Functional Types of Narrow AI

### Reactive Machine AI
- **Definition**: Systems equipped without memory and designed for highly specific tasks. It relies solely on current available data.
- **Example**: IBM Deep Blue, a computer system for playing chess that evaluated 200 million chess positions per second and became the first machine to defeat a human chess grandmaster in 1997.
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### Limited Memory AI
- **Definition**: Systems equipped with memory capacity that can use past and present data for decision-making.
- **Examples**: Generative AI tools like GPT, which utilize limited memory to predict content, and self-driving cars, which navigate using historical and real-time data.
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## General AI (Artificial General Intelligence)

**General AI** or **Artificial General Intelligence (AGI)**, also called **Strong AI**, can use previous learnings and skills to perform new tasks in different contexts without human guidance. AGI is theorized to be on par with human cognitive abilities.

### Theory of Mind AI
- **Definition**: A functional type of General AI that can understand the thoughts and emotions of other entities, capable of simulating human-like interactions.
- **Applications**: Empathetic healthcare assistants and improving human-machine collaboration.
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## Super AI (Artificial Superintelligence)

**Super AI** or **Artificial Superintelligence (ASI)** will transcend human cognitive abilities, capable of thinking, learning, acting, and feeling independently. This leads to the potential for AI singularity, where AI surpasses human intelligence.

### Self-Aware AI
- **Definition**: A functional type of Super AI with self-understanding, beliefs, needs, emotions, and traits. It can make ethical and contextual decisions in various fields.
-  (accessed 5/14/2025)

## Conclusion

AI is a nuanced field with distinct levels and functional types, namely Narrow AI, General AI, and Super AI. Future advancements are likely to yield additional types of AI.