Types of Artificial Intelligence: know which ones exist and how to use them

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Unlike what we are used to seeing in movies, the different types of artificial intelligence are not so utopian and are already with us. Don't worry, no robot will rebel against humanity!

In reality, that technology has only helped us execute the most sophisticated processes, especially in Digital Marketing .

Automation is one of the main gains made with artificial intelligence , and after car owner database that, everything has changed in marketing. As a result of digital transformation , those different mechanisms help companies achieve outstanding results, especially when they are based on data.

The more we know about artificial intelligence, the more we can leverage it strategically.

In this post, our idea is to show you different types of artificial intelligence and how they are applied. We will present the following examples:

Artificial Narrow Intelligence (ANI)
Artificial General Intelligence (AGI)
Artificial Superintelligence (ASI)
Reactive machines
Limited Memory
Theory of Mind
Self-awareness
Read on and check it out!

Artificial Narrow Intelligence (ANI)
ANI is a more rigid type of artificial intelligence, which does not conform or adapt to the requirements of a particular system or machine. Its function is to focus on a single job and dedicate all its complexity to it . If we draw a parallel, it would be a trained professional who is dedicated to a single complex function.

The operation of the ANI model is projected through the programming of its actions. At that stage, it must be prepared to act in a single role, reducing its performance as much as possible.

This will also ensure that you can fully play your role. As much as that may seem like a limitation, it can also be seen as a broad and comprehensive dedication.

Among its characteristics, ANI is an artificial intelligence with a reactive character and limited memory. In addition, by definition, all other models can be considered a type of ANI.

The difference is that, for the most part, types of artificial intelligence are designed to perform more diverse and even multiple functions.

Technical classifications place ANI as an intelligence incapable of reproducing human behavior , only simulating it. Therefore, it is only oriented to specific objectives.

Typically, ANI is used in functions such as:

virtual assistants (Siri, Alexa, Cortana, among others);
facial recognition;
spam filters in emails;
autonomous vehicle systems.
Artificial General Intelligence (AGI)
Among the types of artificial intelligence, AGI is considered strong and deep, as a machine capable of imitating human intelligence and with a vast capacity for action.

Through her behavior, she can learn and, based on that, replicate attitudes to solve different issues . That is what makes her one of the most versatile models currently available.

AGI has the role of thinking, which leads to a unique and not completely robotic understanding. Thus, for each scenario it has to deal with, the proposed solution is different.

This ability to adapt to different scenarios means that it has a problem-solving activity very similar to the human mind. Precisely for this reason it is considered a much deeper intelligence.

One of the foundations of AGI is its theoretical structure. That means it has the ability to evaluate and detect different needs, processes and even emotions in order to act correctly. That is a unique feature when we compare it with other types of artificial intelligence.

In practice, their learning capacity and cognitive level are very high. This allows, for example, to shape a company's service according to the most common doubts and needs of the brand's person .

It is very common to work with machines that are able to replicate human actions, which in itself is very beneficial. However, AGI is a system capable of studying and understanding humans and dealing accurately with user interactions and behaviors.

Artificial Superintelligence (ASI)
The name is in keeping with the capabilities of this type of artificial intelligence. ASI is considered the most powerful, precisely because it is the machine capable of becoming conscious and autonomous.

That is, rather than simply replicating human behavior, ASI surpasses that ability . It is even considered capable of thinking better and being more skillful than us.

Of course, that is a category of artificial intelligence that is still under development and improvement, although in an advanced state.

This is the model that has inspired cinema to create realities in which robots have a will of their own and simply rule the Earth! Of course, that won't happen, but the idea is that they can be intelligent in the same way they are portrayed in the movies .

ASI's development pipeline strives to make robots better than humans at absolutely everything. Machines will become better athletes, scientists, artists, and even doctors. There is actually the possibility of thinking about that because it is at a scientific level that focuses on creating systems that awaken emotions and desires of their own.

Thus, care is needed in the development of ASI. The ability to reason advancedly requires a meticulous analysis of the possible consequences that this may have. Therefore, the work is continuous, always carried out responsibly.


Reactive machines
Among the types of artificial intelligence, reactive machines are the simplest and oldest known . It is an introductory model and has a much more limited capacity than the models presented so far. Its function is quite simple: to reproduce human behavior when stimulated, that is, only a reactive action.

Since they have no memory, these machines do not have the capacity to learn and manage an internal database to execute what they absorb. Thus, they only have a response role, that is, they are automated to react to some action. This limitation, however, does not prevent them from being useful in various texts, although little by little they are becoming obsolete.

Certainly, when we talk about reactive machines, we must remember their heyday, when they were tested in the 1990s . It was a system like that that beat chess champion Garry Kasparov in 1997. At that time, the specific machine was an IBM creation, called Deep Blue.

Limited Memory
Limited memory machines are, as in the previous example, completely reactive, but with the advantage of having a small amount of memory available. This makes them more advanced, since this function allows them to learn from data. That is, every time they are exposed to information, they are able to generate learning from that content.

Naturally, these machines create small databases from their history of interactions . It is from there that they are able, when necessary, to make small decisions to respond to a request or perform any action. Today, this form of artificial intelligence is widely used, but only at its base. The memory has been expanded to make it work better.

The basis of limited memory intelligence is still used and can be seen today in facial recognition systems, virtual assistants and chatbots , for example.

ebook chatbots
Theory of Mind
Theory of Mind is a type of artificial intelligence that has been the subject of a lot of work in recent years. We cannot say much about its application and how far it will go in terms of development, however, the idea is that it will be one of the most innovative models ever seen. The proposal is that it can better understand the interactions to which it is exposed.

Thus, the Theory of Mind deals precisely with the emotions, needs and reflection processes that the human mind presents.

Currently, that category is still seen as a future, even with all the progress made in the segment so far. Experts understand that many advances are still needed in other parts of artificial intelligence studies.

Thus, the Theory of Mind is an idealization in progress, but it has the potential to be one of the most prominent models. The process, in addition to the development of studies in general, also depends on understanding the factors of the human mind that lead to varied feelings and reactions.

Self-awareness
Self-awareness is just an idea, a concept that guides the development of artificial intelligence. For now, there are no concrete creations yet, but the idea is that in the future, machines will be self-aware. This is the highest level of development that artificial intelligence can reach , and of course, it takes time and a lot of effort.

The idea is that this artificial intelligence will be able to understand all emotions, have its own and understand every detail that happens to those who interact with it. As ambitious as it may seem, it is undeniable that this is the path that scientists have as their horizon. However, it is not possible to say how many years will it take for the technology to reach that level.

There is also no doubt that this is a dangerous stage in the development of artificial intelligence. Machines that are largely independent will have reasoning that simply cannot be stopped all the time . So there is still a lot of work to be done, although self-awareness is already a clear idea among types of artificial intelligence.