What are the 7 types of AI?

The 7 types of AI are:..

What are the 7 types of AI?

What are the 7 types of AI? Reactive machines: 

These tyes of AI systems are purely reactive and have no memory or learning ability. They simply react to the current situation based on a set of predefined rules or inputs. Examples of reactive machines are IBM's Deep Blue, which defeated the world chess champion in 1997.


Limited memory:

These types of AI systems have the ability to store and recall past experiences in order to make future decisions. Self-driving cars use limited memory systems to make decisions based on past driving experiences.

Theory of mind: 

These types of AI systems are capable of understanding human emotions, beliefs and intentions. They can predict how people will react in certain situations and adjust their own behavior accordingly.


These types of AI systems have a sense of self-awareness and are able to understand their own state and internal mechanisms. They are still at an early stage of development and have not yet been fully realized.

Artificial Narrow Intelligence (ANI): 

ANI refers to AI systems designed for a specific task or domain. For example, an ANI system could be designed to play a specific game or perform a specific type of data analysis.

Artificial General Intelligence (AGI): 

AGI refers to AI systems that can perform any intellectual task that a human being can perform. AGI systems have not yet been developed, but researchers are working on developing them.

Artificial Superintelligence (ASI): 

ASI refers to AI systems that are smarter than humans in every way. ASI systems do not currently exist, but they are the subject of much speculation and debate among researchers and experts in the field of AI.

What are the 7 types of AI?

AI has been gaining popularity in recent years, and for good reason. It's changing the way we deal with technology and solving problems we never thought were possible. But you may be wondering, what are the 7 types of AI? Well, let's dive in and explore!

In the first place are reactive machines:

This is the most basic form of AI and includes the ability to respond to a specific situation. Reactive machines cannot store memories or use past experiences to influence future decisions. They simply react to what is happening in the present moment. For example, a self-driving car that can detect obstacles in real time, but can not remember how to avoid them next time.

Next, we have a limited memory AI:

As the name suggests, this type of AI is capable of storing some information and using that information to make more informed decisions in the future. An example of this would be virtual assistants such as Siri, Cortana and Alexa. They can remember your preferences and previous requests to provide a more personalized experience.

Third on the list is the theory of mental AI:

This kind of AI is still at an early stage of development, but it's about giving machines the ability to understand human emotions and intentions. This could lead to more differentiated human-machine interactions that become more intuitive and empathetic.

Fourth, we have a confident AI:

This is the most advanced form of AI and includes machines that can understand their own existence and thought processes. Although we have not yet developed a really self-confident AI, this is a fascinating field of research that could have a significant impact on the future of robotics and AI.

Fifth on the list is the evolutionary AI:

AI involves the use of algorithms:

This type of AI involves the use of algorithms inspired by biological evolution to solve problems. In essence, the algorithm generates several solutions to a problem, and then selects the best one based on a set of criteria. This approach has proven itself in many areas, including game design and genetics.

Sixth, we have generative AI:

These types of AI are machines that can create new content such as music, art or even text. While generative AI is still in its early stages, it has already shown incredible promise. For example, Google's Magenta project generates new musical compositions that are eerily similar to those of people.