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Different Types of Artificial Intelligence

Artificial Intelligence is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning the acquisition of information and rules for using the information, reasoning using rules to reach approximate or definite conclusions and self-correction.

The overall research goal of artificial intelligence is to create technology that allows computers and machines to function in an intelligent manner. These consist of particular traits or capabilities that researchers expect an intelligent system to display.

Types of Artificial Intelligence

Reactive AI
The most basic types of AI systems are purely reactive, and based on this type of AI neither have a concept of the past, historical data, and inferences from it nor the ability to conceive a future. a clear example of this type of AI is Deep Blue, the famous supercomputer developed by IBM that won against Gary Kasparov in chess. Deep Blue can identify the pieces on a chess board and know how each moves. It can make predictions about what moves might be next for it and its opponent. And it can choose the most optimal moves from among the possibilities.  All it knew was choosing the most appropriate one from the list of available moves available depending on the board. This can be very good for ensuring an AI system is trustworthy: You want your autonomous car to be a reliable driver. But it’s bad if we want machines to truly engage with, and respond to, the world. These simplest AI systems won’t ever be bored, or interested, or sad.

Limited Memory AI
it contains machines can look into the past. Self-driving cars do some of this already. the memory in such systems is short lived. an example of this type is self-driving cars, where the sensors detect instances of a pedestrian crossing, bad road conditions, weather, incoming vehicle, lane detection, traffic lights and more to make smarter driving decisions. These observations are added to the self-driving cars’ preprogrammed representations of the world, which also include lane markings, traffic lights and other important elements, like curves in the road. They’re included when the car decides when to change lanes, to avoid cutting off another driver or being hit by a nearby car. This technology has been key in helping autonomous cars avid accidents.

Theory of mind
This is more on the books and science fiction movies, where we talk about artificially intelligent and advanced systems that can perceive the concept of emotions and people and change their behavior accordingly. This is crucial to how we humans formed societies because they allowed us to have social interactions. Without understanding each other’s motives and intentions, and without taking into account what somebody else knows either about me or the environment, working together is at best difficult, at worst impossible. Though such systems have not been completely developed until now, we are making significant advancements in coming up with machines that can recognize our face and eye movements and modify their acts accordingly. If AI systems are indeed ever to walk among us, they’ll have to be able to understand that each of us has thoughts and feelings and expectations for how we’ll be treated. And they’ll have to adjust their behavior accordingly.

Self-Aware AI
this type of artificial intelligence is still a probability and has the potential for real-world application.  machines or robots are aware of who they are, understand their internal traits, states and conditions and even perceive human emotions. While we are probably far from creating machines that are self-aware, we should focus our efforts on understanding memory, learning and the ability to base decisions on past experiences. This is an important step to understand human intelligence on its own. And it is crucial if we want to design or evolve machines that are more than exceptional at classifying what they see in front of them. Though the days’ self-aware robots and intelligent systems would hit the market and earth are still far away, disruptive technological advancements may bring them anytime sooner.

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