4. Artificial Intelligence (AI) refers to the simulation of human
intelligence in machines that are programmed to think and act
like humans.
It involves the development of algorithms and computer
programs that can perform tasks that typically require human
intelligence such as visual perception, speech recognition,
decision-making, and language translation.
AI has the potential to revolutionize many industries and has a
wide range of applications, from virtual personal assistants to
self-driving cars
INTRODUCTION
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5. Artificial intelligence (AI) is the
intelligence of machines and the
branch of computer science that aims
to create it.
AI textbooks define the field as "the
study and design of intelligent
agents" where an intelligent agent is
a system that perceives its
environment and takes actions that
maximize its chances of success.
What is Artificial Intelligence?
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6. •DEDUCTION, REASONING, PROBLEM SOLVING.
PROBLEM DEDUCTED THROUGH A.I.
•NATURAL LANGUAGE PROCESSING
•SOCIAL INTELLIGENCE
•MOTION AND MANIPULATION
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7. •CYBERNETICS AND BRAIN SIMULATION
•SYMBOLIC
When access to digital computers became possible in the
middle 1950s, AI research began to explore the possibility
that human intelligence could be reduced to symbol
manipulation.
APPROACHES
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8. TOOLS
•SEARCH AND OPTIMIZATION
Many problems in AI can be solved in theory by
intelligently searching through many possible solutions.
Planning algorithms search through trees of goals and
subgoals, attempting to find a path to a target goal, a
process called means-ends analysis.
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9. LOGIC
Logic is used for knowledge representation and problem
solving, but it can be applied to other problems as well. AI
researchers have devised a number of powerful tools to
solve these problems using methods from probability
theory and economics.
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10. •CONTROL THEORY
Control theory, the grandchild of cybernetics, has many
important applications, especially in robotics.
•LANGUAGES
AI researchers have developed several specialized
languages for AI research, including Lisp and Prolog.
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13. APPLICATIONS
• Gesture recognition
• Individual voice recognition
• Global voice recognition
• Facial expression recognition for interpretation of
emotion and non verbal queues.
• Robot navigation.
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14. Conclusion
Artificial Intelligence and Machine Learning are
products of both science and myth. The idea
that machines could think and perform tasks
just as humans do is thousands of years old.
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15. REFERENCES
• George Luger, Artificial Intelligence: Structures and Strategies for Complex
Problem Solving, Fourth Edition Addison-Wesley, 2002 -- a well-respected
introduction to artificial intelligence, as witnessed by its being in its fourth
edition.
• Peter Norvig, AI on the Web, http://aima.cs.berkeley.edu/ai.html -- a list of
over 800 links on various aspects of artificial intelligence.
• Nils J. Nilsson, Artificial Intelligence: A New Synthesis, Morgan Kaufmann
Publishers, 1998 -- another fine introductory textbook on artificial intelligence.
• Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach,
Second Edition, Prentice-Hall, 2003 -- the leading introductory textbook in the
field.
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