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 bahrain phone number list 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.

Theory of Mind

Theory of Mind is a type of artificial intelligence  continuous optimization as a routine 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 b2b reviews 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.

The current reality of technology allows machines to act like human beings, which is very useful for the most diverse solutions on the market. This is the path to new types of artificial intelligence that will change the world.

Now you understand the relationship between artificial intelligence and innovation in big companies.

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