How Many Types of Artificial Intelligence are there?

How Many Types of Artificial Intelligence are there?

Artificial Intelligence is one of the most problematical and yet a wonderful innovation of recent times.

Various fields like mobile app development services are exploring this technology. The current pace of development in AI solutions is soaring high. This suggests that very soon most fields will witness a complete AI environment. Now, this puts us in a position to understand the functionalities of Artificial Intelligence. It is necessary to know about the different types of Artificial Intelligence to contribute towards more research projects.

There are three basic types of Artificial Intelligence that are vital for learning. They are mentioned here.

  • Artificial Narrow Intelligence
  • Artificial General Intelligence
  • Artificial Super Intelligence

These are the different stages of artificial intelligence that are usually followed by services like cloud computing services and also by AI development company.

Furthermore, it is classified based on the kind of function that is performed. These are

  1. Reactive machines
  2. Limited memory
  3. Theory of mind
  4. Self-aware

As AI is a complex system of various algorithms, it can be easily distinguished by the type of functionality used. Most of the artificial intelligence solutions use these functionalities to build integrated systems.

Types Of Artificial Intelligence

Here is a brief about all these types of artificial intelligence.

1. Artificial Narrow Intelligence

Artificial Narrow Intelligence or ANI is a system that completes the programmed tasks alone. Hence, this is also known as weak AI. In this stage, the machine is just able to follow the instructions that are input. This does not possess any individual thinking ability. The AI development company uses this to improve on the initial stages of the machine. This is just an idea or a simple algorithm that gets into practice.

Also, most of the artificial intelligence machines that exist today come under this category. This is because all of them respond with voice and complete tasks as given by the instructor. Slowly, artificial intelligence solutions are interpreting these algorithms to develop the field further in the future.

2. Artificial General Intelligence

This is a phrase that is currently gaining importance. Researchers, AI development companies are trying to make machines as smart as humans. It is also predicted that machines and AI can soon replace the human workforce. There is another debate going that this AI might take over humans completely. The machines in AGI will posses individual thinking capacity. This will be a generation where machines are given more priority than to humans.

Read the blog- How can artificial intelligence drive your business better?

3. Artificial Super Intelligence

ASI is the stage where machines and AI technology will completely exceed humans. This just like the evolution of humans. Firstly, they are in the current stage in which they do not possess any thinking capacity. Gradually, it will go to the next stage with improved thinking abilities. The last stage is considered the summit of AI. This could be as dangerous as in that case, humans become secondary. On the other hand, scientists like Stephen Hawking, Elon Musk predicted that such a day is not too far from becoming a reality.

This will bring a revolutionary change by combining industries with AI. This is not only restricted to industries but also to fields like medicine, teaching, research, manufacture, information technology and more.

  • Reactive machines

Reactive machines are very similar to ANI, where AI is restricted only to a simple reaction to an instruction. These machines will be able to perform only the tasks for which they are assigned. They continue to work with the instructed program irrespective of the time, day or other surroundings. These also do not have any methods to interpret things from the past and act accordingly to the present. Hence, continuous growth with reactive machines cannot be promised.

  • Limited memory

Limited memory is one step ahead of reactive machines. These are capable of storing information, data, and events. They can utilize the knowledge that was learned previously and build new instructions. One good example of such limited memory AI is self-driving cars. These are fully based on pre-programmed instructions but they also consider environmental factors like road conditions, vehicle condition, climate and many more. All these integrate together to ensure the functioning and performance of AI technology.

Nowadays, cloud computing services also use AI-based on limited memory. This is useful in the segregation of data and storing them properly in the cloud. This makes retrieval of information quick and easy.

  • Theory of mind

Theory of mind, as the name suggests is the ability to understand human feelings, facial expressions, image recognition and more. Although this is the future of the theory of mind based AI, presently machines are responding to human conversations. They, however, do not express or understand human feelings. The theory of mind type of AI also possesses the ability to make decisions.

A good example of this is the innovations made in mobile app development services. The services provided today are only based on the interests of the individual. Initially, AI tools are programmed to understand and study the interests of the person. They later also respond to human voices, perform the actions as told by the instructor and also make suggestions to the individual.

  • Self-aware

Self-aware is a type of AI where it possesses actual consciousness just like us humans. This is a feat that might take a lot of years to achieve yet there is a high possibility that it will come into practice. Self-aware AI tools can think like humans, replicate human activities, develop feelings or emotions, have practical thinking and understand stimuli. This is a very advanced stage as of now and requires in-depth knowledge of AI algorithms.


AI is a field that requires extensive knowledge of algorithms, functionalities, and concepts. Also, a clear differentiation between the types and terms in AI is also important. Right now, companies are looking for ways to build promising AI-based tools. Marching towards advanced systems without experimenting with the present can be harmful to the coming generations. Fortunately, AI development companies are aware of this situation.