Categorization of intelligent systems

Based on the functionality of AI-based systems, AI can be categorized into the following types:
1.Reactive Machines AI
2.Limited Memory AI
3.Theory Of Mind AI
4. Self-aware AI

Reactive Machine AI

This type of AI includes machines that operate solely based on the present data, taking into account only the current situation. Reactive AI machines cannot form inferences from the data to evaluate their future actions. They can perform a narrowed range of pre-defined tasks.

An example of Reactive AI is the famous IBM Chess program that beat the world champion, Garry Kasparov.

Limited Memory AI

Like the name suggests Limited Memory AI, can make informed and improved decisions by studying the past data from its memory. Such an AI has a short-lived or a temporary memory that can be used to store past experiences and hence evaluate future actions.

Self-driving cars are Limited Memory AI that uses the data collected in the recent past to make immediate decisions. For example, self-driving cars use sensors to identify civilians crossing the road, steep roads, and traffic signals and so on to make better driving decisions. This helps to prevent any future accidents.

Theory of Mind AI

The Theory of Mind AI is a more advanced type of Artificial Intelligence. This category of machines is speculated to play a major role in psychology. This type of AI will focus mainly on emotional intelligence so that human believes and thoughts can be better comprehended.

The Theory of Mind AI has not yet been fully developed but rigorous research is happening in this area.

Self-Aware AI

Let’s just pray that we don’t reach the state of AI, where machines have their own consciousness and become self-aware. This type of AI is a little far fetched given the present circumstances. However, in the future, achieving a stage of super intelligence might be possible.