Types of Artificial Intelligence on the basis of functionalities
What is Artificial Intelligence?
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Artificial Intelligence or AI is a field of computer science that enables the machines to behave like a normal human being. AI is an umbrella under which deep learning and machine learning comes. In other words, all these three are sub-categories of each other and AI is the most enchanting scientific discussion. That time is not so far where AI will take over the workload of human beings that will end up reducing the stress of human beings. Artificial Intelligence is comprised of three stages; the first stage is known as ‘Narrow AI, ‘General AI’ and the last stage is ‘Super AI’.
AI is broadly classified into four types on the basis of its functionalities
1. REACTIVE MACHINE AI
2. LIMITED MEMORY MACHINE
3. THEORY OF MIND MACHNE
4. THE SELF-AWARENESS MACHINE
REACTIVE MACHINE AIThe reactive
Reactive machine is a type of AI that reacts on the basis of present situations. Since the reactive machine doesn’t have any past experience so it really goes well with playing games as it is capable of finding out the best moves.
Some of the examples of Reactive Machine AI are deep blue, the chess-player machine, and the go-player machine.
THE LIMITED MEMORY MACHINE
This type of AI is a little distinctive from the above type of AI as it saves the specific objects of the past in order to react accordingly. However, memory is a short-term memory.
Examples of limited memory machines are self-driving cars, Chatbots and traffic lights.
THEORY OF MIND MACHINE
Theory of mind machine is the brightest type of AI that reacts with the accordance of the understanding of people, their emotion and thought process.
The theory of mind-machine makes social interactions, adjusts with people that are around it and make several predictions about how people would be treated.
THE SELF-AWARENESS MACHINE
The self-awareness machine is an expansion of the mind theory. This type of AI is referred to as ‘Consciousness’ which means it is more aware of its needs and internal senses.
In other words, the self-awareness machine is a lot more aware as compared to human beings and it even understands the consciousness better than human beings.
What are the real-life applications of AI research areas?
1. FUZZY LOGIC SYSTEMS
Examples of fuzzy logic systems are consumer electronics or automobiles and etc.
2. NEURAL NETWORKS
Examples of pattern recognition systems are face recognition, character recognition or handwriting recognition and etc.
3. EXPERT SYSTEMS
Its examples are flight tracking systems or clinical systems and etc.
4. NATURAL LANGUAGE PROCESSING (NLP)
Automatic voice output, Google now features and speech recognition is some of the examples of NLP.
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