4 Types of Artificial Intelligence

We are talking about artificial intelligence at our blogs, our topics are usually explaining the sub-categories of those systems, however, in the last few years we are further down the road of artificial intelligence as we never have been before. As we grow in understanding, we grow to understand its differences.

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There are four types of artificial intelligence, right now we classify them according to their levels of emulating and replicating human functions. There are differences among these four types: Some are significantly more advanced than others. Some of these kinds of AI aren't even now reasonable from a scientific standpoint. The four main categories of AI now recognized are reactive, limited memory, theory of mind, and self-aware.

What are the Al Types?

1. Reactive Artificial Intelligence

Reactive AI, which is built to provide a predictable result based on the input it gets, is the most fundamental form of artificial intelligence. Reactive machines are incapable of learning actions or imagining the past or future, and they always react the same manner to the same situations every single time.

Reactive AI represented a significant advance in artificial intelligence research, although these AIs are limited to doing the tasks for which they were initially created. They are hence naturally constrained and open to improvement. From this base, scientists built the following form of AI. 

2. Limited Memory AI

Limited memory artificial intelligence is a little bit more advanced version of reactive artificial intelligence we can say. Limited memory AI builds experiential knowledge by monitoring behaviors or data, learning from the past. To create predictions and carry out challenging categorization tasks, this kind of AI combines pre-programmed information with historical, observational data.

It is currently the type of AI that is utilized the most. In order to "read the road" and make necessary adjustments, autonomous vehicles, for instance, utilize artificial intelligence with a limited memory to track the speed and direction of other vehicles. They are more secure on the roadways thanks to this method of comprehending and interpreting incoming data.

Nevertheless, a small memory as the name implies, AI is still in its infancy. The data that autonomous vehicles use is transient and not stored in the vehicle's long-term memory.

3. Theory of Mind AI 

At this point, things are starting to get complicated. We might need to divide the technology we have and technology we will build in the future.

Theory of mind is as can be understood from the term a theory, it has a more philosophical approach to AI since the technology is not developed yet. It represents the understanding that people, creatures and objects in the world can have thoughts and emotions that affect their own behavior.

Do you want to have an in-depth chat with an emotionally intelligent robot that mimics human speech and appearance? With theory of mind AI, that is imminent. Machines will develop actual, human-like decision-making abilities with the help of this kind of AI. When interacting with humans, machines with theory of mind AI will be able to recognize, comprehend, and remember emotions in order to modify their behavior.

Because the process of adjusting behavior based on quickly fluctuating emotions is so fluid in human communication, there are still a lot of challenges to the theory of mind AI. As we work to develop ever-more emotionally intelligent machines, it is challenging to replicate.

4. Self-awareness AI

At this point, things get very theoretical. This is, I think, a point at which we pass from the created to the creator. Getting to this point will leave us with a host of philosophical and ethical questions. Let's try to understand the theory behind it.

Self-aware AI is the most sophisticated kind of artificial intelligence. Machines will resemble humans in consciousness and intellect when they can recognize their own emotions as well as the emotions of those around them. This kind of AI will also have needs, wants, and emotions. This kind of AI will enable machines to be aware of their own feelings and mental states. They will be able to draw conclusions that other forms of AI cannot, such as "I'm feeling irritated because someone cut me off in traffic." We haven't yet created this kind of sophisticated AI, and we lack the necessary hardware and algorithms.

What can this level of intelligence bring us ? Can this change everything starting from our lifestyles to perception of our World? I guess we are going to have to wait and see what awaits us in the future.

Final Words 

To summarize it all, our research and classification of those systems Shows us that we are only at the beginning of the road when it comes to understanding and developing those systems. How far we can go and how advanced that those systems be ? I guess this is only limited by our imaginations.

However, those systems have progressed huge milestones in the last 50 years and even now at this level of relatively primitiveness, those systems can automate our lives from transportation to medical industry and surveillance to energy sectors. This complex technology might seem expensive and require advanced hardware systems, however companies like Cameralyze are bringing those systems to your feet with competitive subscription based pricing models and easily integratible no-code systems. You can click here and automate your business, analyze your customers and many more with a one minute of registration for a free demo.