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The Artificial intelligence field continues to be plagued by what can only be described as bold promises for the future syndrome. Research in AI has built upon the tools and techniques of many different disciplines, including formal logic, probability theory, decision theory, management science, linguistic philosophy. However, the application of these disciplines in artificial intelligence has necessitated the development of many enhancements and extensions. Since the invention of computers or machines, their capability to perform various tasks went on growing exponentially. Humans have developed the power of computer systems in terms of their diverse working domains, their increasing speed and reducing size with respect to time. Durgesh Raghuvanshi "Artificial Intelligence: Basics and Terminology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: https://www.ijtsrd.com/papers/ijtsrd18909.pdf Paper URL: http://www.ijtsrd.com/engineering/computer-engineering/18909/artificial-intelligence-basics-and-terminology/durgesh-raghuvanshi
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International Journal of Trend in
International Open
ISSN No: 2456
@ IJTSRD | Available Online @ www.ijtsrd.com
Artificial Intelligence
Btech, DIILM Academy of Higher Learning,
ABSTRACT The Artificial intelligence field continues to be plagued by what can only be described as ‘boldpromises for the future syndrome’. Research in AI has built upon the tools and techniques of many different disciplines, including formal logic, probability theory, decision theory, management science, linguistic philosophy. However, the application of these disciplines in artificial intelligence has necessitated the development of many enhancements and extensions. Since the invention of computers or machines, their capability to perform various tasks went on growing exponentially. Humans have developed tcomputer systems in terms of their diverse working domains, their increasing speed and reducing size with respect to time.
International Journal of Trend in Scientific Research and Development (IJTSRD)
International Open Access Journal | www.ijtsrd.com
ISSN No: 2456 - 6470 | Volume - 2 | Issue – 6 | Sep
www.ijtsrd.com | Volume – 2 | Issue – 6 | Sep-Oct 2018
Artificial Intelligence: Basics and Terminology
Durgesh Raghuvanshi Btech, Department of computer science,
f Higher Learning, Greater Noida, Uttar Pradesh, India
The Artificial intelligence field continues to be plagued by what can only be described as ‘bold promises for the future syndrome’. Research in AI has built upon the tools and techniques of many different disciplines, including formal logic, probability theory, decision theory, management science, linguistic
hese disciplines in artificial intelligence has necessitated the development of many enhancements and extensions. Since the invention of computers or machines, their capability to perform various tasks went on growing exponentially. Humans have developed the power of computer systems in terms of their diverse working domains, their increasing speed and reducing size
INTRODUCTION A branch of computer science named Artificial intelligence John McCarthy, it is “The science and engineering of making intelligent machines, especially intelligent computer programs”. AI is a way of making a computer, a computerrobot, or a software think intelligently, in the similar manner intelligent humans think. AI is an accomplished by studying how human brain thinks, and how humans learn, decide and work while trying to solve a problem and then using the outcomes of this study as a basis of developing intelligent software and systems. To lay claim to have developed an intelligent system is to open a hornet's nest of debate which has raged since the early days of AI. This is not surprising since one can very quickly stray into the realms ophilosophy, metaphysics and or religion we do not propose to add to the debate here but to simply make ours by way of practical methods.
Research and Development (IJTSRD)
www.ijtsrd.com
6 | Sep – Oct 2018
Oct 2018 Page: 1539
: Basics and Terminology
India
A branch of computer science named Artificial intelligence John McCarthy, it is “The science and engineering of making intelligent machines, especially intelligent computer programs”. AI is a way of making a computer, a computer-controlled
ware think intelligently, in the similar manner intelligent humans think. AI is an accomplished by studying how human brain thinks, and how humans learn, decide and work while trying to solve a problem and then using the outcomes of this
f developing intelligent software and
To lay claim to have developed an intelligent system is to open a hornet's nest of debate which has raged since the early days of AI. This is not surprising since one can very quickly stray into the realms of philosophy, metaphysics and or religion we do not propose to add to the debate here but to simply make ours by way of practical methods.
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
@ IJTSRD | Available Online @ www.ijtsrd.com
AI programming languages include LISP developed in the 1950'S is the early programming language strongly associated with AI. LISP is a functional programming language with procedural extensions. LISP was specially designed for processing heterogeneous lists typically a list of symbols. Features of LISP are run-time type checking. AI is a new electronic machine that stores a large amount of information and processes it at very high speed. AI has the ability to solve problems hence it is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence. Types of artificial intelligence:- AI can be classified in any number of ways there are two types of classification. TYPE 1:- � WEAK AI OR NARROW AI:- � It is focused on one narrow task, the phenomenon
that machines which are not too intelligent to do their own work can be built in such a way that they seem smart.
� An example would be a poker game where a machine beats human where in which all rules and moves are fed into the machine. There each and every possible scenario need to be entered beforehand manually. Each and every weak AI will contribute to the building of strong AI.
� STRONG AI:- � The machines that can actually think and perform
tasks on its own just like a human being. There are no proper existing examples ofthis, but some industry leaders are very keen on getting close to build a strong AI which has resulted in rapid progress.
TYPE 2 (BASED ON FUNCTIONALITIES) :� Reactive machines:- � This is one of the basic forms of AI. It doesn't
have post-memory and cannot use past information to perform future actions.
� Example: - IBM chess program that beat Garry Kasparov in the 1990's.
� Limited Memory:- � AI systems can use past experiences to inform
future decisions. Some of the decisionfunctions in self-driving cars have been designed this way. Observations used to inform actions
Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
www.ijtsrd.com | Volume – 2 | Issue – 6 | Sep-Oct 2018
AI programming languages include LISP developed in the 1950'S is the early programming language
AI. LISP is a functional programming language with procedural extensions. LISP was specially designed for processing heterogeneous lists typically a list of symbols.
time type checking. AI is a a large amount of
information and processes it at very high speed. AI has the ability to solve problems hence it is the science and engineering of making intelligent machines, especially intelligent computer programs. It
sing computers to
AI can be classified in any number of ways there are
It is focused on one narrow task, the phenomenon that machines which are not too intelligent to do their own work can be built in such a way that
An example would be a poker game where a machine beats human where in which all rules and moves are fed into the machine. There each and every possible scenario need to be entered beforehand manually. Each and every weak AI
of strong AI.
The machines that can actually think and perform tasks on its own just like a human being. There are no proper existing examples ofthis, but some industry leaders are very keen on getting close to
ulted in rapid
TYPE 2 (BASED ON FUNCTIONALITIES) :-
This is one of the basic forms of AI. It doesn't memory and cannot use past
information to perform future actions. IBM chess program that beat Garry
AI systems can use past experiences to inform future decisions. Some of the decision-making
driving cars have been designed this way. Observations used to inform actions
happening in the not so distacar that has changed lanes. These observations are not stored permanently and also apple chatbot Siri.
� Theory of Mind:- � This type of AI should be able to understand
people's emotion, belief thoughtsand be able to interact socially. Even though a lot of improvements are there in this field this kind of AI is not completed yet.
� Self-awareness:- � An AI that has its own conscious super intelligent,
self-awareness sentiment. Of course, this kind of bot also doesn't exist and iof the milestones in the field of AI.
IMPORTANCE OF AI:- � Game playing:- � You can buy machines that can play a master level
of chess for a few hundred dollars. There is some Ai in them but they ay well against people mainly through brute force computation looking at hundreds of thousands of positions. To beat a world champion by brute force and known reliable heuristics requires being able to look at 200 million positions per second.
� Speech recognition:- � In the 1990's computer spee
a practical level for limited purposes. The United Airlines has replaced its keyboard tree for flight information by a system using speech recognition of flight numbers and city names.
� Understanding Natural Language:� Just getting a sequence of words into a computer
is not enough. Parsing sentences is not enough either the computer has to be provided with an understanding of the domain the text is about and this is presently possible only for very limited domains.
� Computer Vision:- � The world is composed of 3d objects but the
inputs to the human eye and computers TV cameras are 2D some useful programs can work solely in two dimensions but full computer vision requires partial 3d information that is not just a set of 2d views. At present, there are only limited ways of representing 3d information directly and they are not as good as what humans evidently use.
Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
Oct 2018 Page: 1540
happening in the not so distant future, such as a car that has changed lanes. These observations are not stored permanently and also apple chatbot Siri.
should be able to understand belief thoughts, expectations
t socially. Even though a lot of improvements are there in this field this kind of
An AI that has its own conscious super intelligent, awareness sentiment. Of course, this kind of
bot also doesn't exist and if achieved it will be one of the milestones in the field of AI.
You can buy machines that can play a master level of chess for a few hundred dollars. There is some Ai in them but they ay well against people mainly
brute force computation looking at hundreds of thousands of positions. To beat a world champion by brute force and known reliable heuristics requires being able to look at 200 million positions per second.
In the 1990's computer speech recognition reached a practical level for limited purposes. The United Airlines has replaced its keyboard tree for flight information by a system using speech recognition of flight numbers and city names.
Understanding Natural Language:- Just getting a sequence of words into a computer is not enough. Parsing sentences is not enough either the computer has to be provided with an understanding of the domain the text is about and this is presently possible only for very limited
The world is composed of 3d objects but the inputs to the human eye and computers TV cameras are 2D some useful programs can work solely in two dimensions but full computer vision requires partial 3d information that is not just a set
iews. At present, there are only limited ways of representing 3d information directly and they are not as good as what humans evidently
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
@ IJTSRD | Available Online @ www.ijtsrd.com
WHAT CONTRIBUTES AI?
Artificial intelligence is a science and technology based on disciplines such as Computer science, biology, psychology, linguistics, mathematics, engineering. A major thrust of artificial intelligence is in the development of computer functions associated with human intelligence such as reasoning, learning problem-solving. Out of the following areas, one or multiple areas can contribute to building an intelligent system. Conclusion:- I have sketched two ways in which the ALP agent model, building upon many different developments in AI, can be used by many ordinary people to improve their own human intelligence It can help them express their thoughts more clearly and coherently and it can
Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
www.ijtsrd.com | Volume – 2 | Issue – 6 | Sep-Oct 2018
science and technology based on disciplines such as Computer science, biology, psychology, linguistics, mathematics, and
. A major thrust of artificial intelligence is in the development of computer functions associated
as reasoning, learning solving. Out of the following areas, one or
multiple areas can contribute to building an intelligent
I have sketched two ways in which the ALP agent model, building upon many different developments in
I, can be used by many ordinary people to improve their own human intelligence It can help them express their thoughts more clearly and coherently and it can
help them to make better choices. I believe that the application of such techniques as a fruitfucollaboration between researchers in AI and researchers in more humanistic disciplines. Reference:- 1. Robert Kowalski, Oxford University wellington
square united kingdom
2. Analilia Lauren cruces, the researcher in computer science, University of Wollongong Australia.
3. John Fulcher, intelligent systems research center university of Wollongong Australia.
4. Professor Pradipta Das, Veer Surendrasai University of technology, Sambalpur Odisha India.
Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
Oct 2018 Page: 1541
help them to make better choices. I believe that the application of such techniques as a fruitful area of collaboration between researchers in AI and researchers in more humanistic disciplines.
Robert Kowalski, Oxford University wellington
Analilia Lauren cruces, the researcher in computer Wollongong Australia.
John Fulcher, intelligent systems research center university of Wollongong Australia.
Professor Pradipta Das, Veer Surendrasai of technology, Sambalpur Odisha