Presented by
Prince kumar kushwaha
0902EC101053
4/19/2014 1
1 What Is Artificial Intelligence
2 History
3 Scientist In Creation Of AI
4 Problems Of AI
5 The Turing’s Test, Picture Ar...
Artificial intelligence (AI) is the
intelligence exhibited by machines or
software, and the branch of computer
science tha...
HISTORY
4/19/2014 4
SCIENTIST IN CREATION OF AI
In 1956 John McCarthy regarded as
the father of AI, organized a
conference to draw the talent ...
Problems of AI
The general problem of simulating intelligence has been
broken down into a number of specific sub-problems....
1 Deduction, reasoning, problem solving
Early AI researchers developed Algorithms
that imitated the step-by-step reasoning...
3 Planning
Intelligent agents must be able to set goals
and achieve them. They need a way to visualize
the future and be a...
5 Natural language processing
Natural language processing gives machines
the ability to read and understand the
languages ...
The Turing’s Test
 Alan Turing (1912 - 1954)
 Proposed a test - Turing’s
Imitation Game
 Tests the intelligence of
the ...
 Phase 2 of the Turing’s test:
 The man was replaced by
the computer.
 If the computer could fool the
interrogator as o...
Picture Arrangement
4/19/2014 12
Picture Arrangement
4/19/2014 13
Artificial Intelligence Vs
Human Intelligence
AI
 Exact information .
 Byte-addressable memory.
 hardware/software used...
Approaches to AI
Methods and ways used to solve AI problems
• cybernetics
• cognitive simulation
• logic based
• knowledge...
Cybernetics
It is the study of control and communication in the animal
and machine.
Cognitive simulation
Psychology was th...
Logic based
This approach uses formal logic to solve a wide variety
of problems, Including knowledge representation, plann...
1 ROBOTICS
2 MILITARY
3 MEDICINE
4 NATURAL LANGUAGE PROCESSING
5 PATTERN RECOGNITION
6 TELEPHONE TRANSLATORS
4/19/2014 18
Advantages
Don’t need sleep
Easier copying
Save the time
4/19/2014 19
Disadvantages
It will take long time to build
Small amount of information
Can’t provide a human feel
No emotional unde...
AI is like a two edged sword, at one end they can
solve problems "intelligently" at another end they
pose a problem themse...
Just You Wait...
or 20...
or 30...
or 50...
4/19/2014 22
4/19/2014 23
ANY QUERY …
4/19/2014 24
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presentation on Artificial intelligence by prince kumar kushwaha from rustamji institute of technology

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Artificial intelligence (AI) is the human-like intelligence exhibited by machines or software. The AI field is interdisciplinary, in which a number of sciences and professions converge, including computer science, psychology, linguistics, philosophy and neuroscience, as well as other specialized fields such as artificial psychology. Major AI researchers and textbooks define the field as "the study and design of intelligent agents",[1] where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.[2] John McCarthy, who coined the term in 1955,[3] defines it as "the science and engineering of making intelligent machines".[4]

AI research is highly technical and specialised, and is deeply divided into subfields that often fail to communicate with each other.[5] Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. AI research is also divided by several technical issues. Some subfields focus on the solution of specific problems. Others focus on one of several possible approaches or on the use of a particular tool or towards the accomplishment of particular applications.

The central problems (or goals) of AI research include reasoning, knowledge, planning, learning, natural language processing (communication), perception and the ability to move and manipulate objects.[6] General intelligence (or "strong AI") is still among the field's long term goals.[7] Currently popular approaches include statistical methods, computational intelligence and traditional symbolic AI. There are an enormous number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others.

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presentation on Artificial intelligence by prince kumar kushwaha from rustamji institute of technology

  1. 1. Presented by Prince kumar kushwaha 0902EC101053 4/19/2014 1
  2. 2. 1 What Is Artificial Intelligence 2 History 3 Scientist In Creation Of AI 4 Problems Of AI 5 The Turing’s Test, Picture Arrangement Test 6 Artificial Intelligence Vs Human Intelligence 7 Artificial Intelligence Applications 8 Future Of AI 9 Advantages And Disadvantages Of AI 10 Conclusion 4/19/2014 2
  3. 3. Artificial intelligence (AI) is the intelligence exhibited by machines or software, and the branch of computer science that develops machines and software with human-like intelligence. 4/19/2014 3
  4. 4. HISTORY 4/19/2014 4
  5. 5. SCIENTIST IN CREATION OF AI In 1956 John McCarthy regarded as the father of AI, organized a conference to draw the talent and expertise of others interested in machine intelligence. John McCarthy, who defines the term as "the science and engineering of making intelligent machines". 4/19/2014 5
  6. 6. Problems of AI The general problem of simulating intelligence has been broken down into a number of specific sub-problems. These consist of particular traits or capabilities that researchers would like an intelligent system to display. Deduction, reasoning, problem solving Knowledge Representation Planning Learning Natural language processing Motion and manipulation4/19/2014 6
  7. 7. 1 Deduction, reasoning, problem solving Early AI researchers developed Algorithms that imitated the step-by-step reasoning that human beings use when they solve puzzles, play board games or make logical deductions. 2 Knowledge Representation Many of the problems machines are expected to solve will require4/19/2014 7
  8. 8. 3 Planning Intelligent agents must be able to set goals and achieve them. They need a way to visualize the future and be able to make choices that maximize the utility (or "value") of the available choices. Types of planning 1 Classical planning 2 Multi agent planning 4 Learning Machine learning is the study of computer algorithms that improve automatically through experience and has been central to AI research since the field's inception. Types of learning 1 Unsupervised learning4/19/2014 8
  9. 9. 5 Natural language processing Natural language processing gives machines the ability to read and understand the languages that the human beings speak. 6 Motion and manipulation The field of robotics is closely related to AI. Intelligence is required for robots to be able to handle such tasks as object manipulation and navigation, with sub-problems of localization (knowing where you are), mapping (learning what is around you) , motion planning (figuring out how to get there) and path planning (going from one point in space to another point).4/19/2014 9
  10. 10. The Turing’s Test  Alan Turing (1912 - 1954)  Proposed a test - Turing’s Imitation Game  Tests the intelligence of the computer.  Phase 1:  Man and woman separated from an interrogator.  The interrogator types in a question to either party.  By observing responses, the interrogator’s goal was to identify which was the man and which was the woman. 4/19/2014 10
  11. 11.  Phase 2 of the Turing’s test:  The man was replaced by the computer.  If the computer could fool the interrogator as often as the person did, it could be said that the computer had displayed intelligence. 4/19/2014 11
  12. 12. Picture Arrangement 4/19/2014 12
  13. 13. Picture Arrangement 4/19/2014 13
  14. 14. Artificial Intelligence Vs Human Intelligence AI  Exact information .  Byte-addressable memory.  hardware/software used.  Not forget and lose information. HI  Not exact information.  Content-addressable memory.  No hardware/software used.  Can forget and lose information 4/19/2014 14
  15. 15. Approaches to AI Methods and ways used to solve AI problems • cybernetics • cognitive simulation • logic based • knowledge based 4/19/2014 15
  16. 16. Cybernetics It is the study of control and communication in the animal and machine. Cognitive simulation Psychology was the base of this approach to AI. Human psychology was simulated. 4/19/2014 16
  17. 17. Logic based This approach uses formal logic to solve a wide variety of problems, Including knowledge representation, planning and learning. programming language used is PROLOG Knowledge based Expert systems were developed keeping knowledge as the base, these systems could behave like an human expert and answer or provide solutions to any questions related to that field to which it is intended. 4/19/2014 17
  18. 18. 1 ROBOTICS 2 MILITARY 3 MEDICINE 4 NATURAL LANGUAGE PROCESSING 5 PATTERN RECOGNITION 6 TELEPHONE TRANSLATORS 4/19/2014 18
  19. 19. Advantages Don’t need sleep Easier copying Save the time 4/19/2014 19
  20. 20. Disadvantages It will take long time to build Small amount of information Can’t provide a human feel No emotional understanding 4/19/2014 20
  21. 21. AI is like a two edged sword, at one end they can solve problems "intelligently" at another end they pose a problem themselves. A.I. is something that has been achieved only to a very limited degree and it remain a very difficult problem and a long term goal of computer science. Since we are having some limitation or disadvantages of A.I. but still there is a bright future of Artificial Intelligence. CONCLUSION 4/19/2014 21
  22. 22. Just You Wait... or 20... or 30... or 50... 4/19/2014 22
  23. 23. 4/19/2014 23
  24. 24. ANY QUERY … 4/19/2014 24

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