Types of Artificial Intelligence on the basis of functionalities
What is Artificial Intelligence?
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 AI
Ø Reactive the 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.
Ø Some
of the examples of Reactive Machine AI are deep blue, the chess-player machine
and the go-player machine.
THE LIMITED MEMORY MACHINE
Ø This
type of AI is little distinctive from the above type of AI as it saves the
specific objects of the past in order to react accordingly. However the memory
is short-term memory.
Ø Examples
of limited memory, the machine is self-driving cars, Chatbots and traffic lights.
THEORY OF MIND MACHINE
Ø Theory
of mind, the machine is the brightest type of AI that reacts with the accordance of
the understanding of people, their emotion and thought process.
Ø Theory
of mind-machine makes social interactions adjust with people that are around and make several predictions about how people would be treated.
THE SELF-AWARENESS MACHINE
Ø
Self-awareness machine is an expansion of the
mind theory. This type of AI is referred to ‘Consciousness’ that means it is
more aware of its needs and internal senses.
Ø
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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