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ARTIFICIAL INTELLIGENCE
INTRODUCTION:
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.
Approches:
 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
Problem deducted through A.I
DEDUCTION, REASONING, PROBLEM SOLVING.
Motion And Manipulation.
Natural Language Processing.
Social Intelligence.
TOOLS:
 SEARCHES 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 sub goals,
attempting to find a path to a target goal, a
process called means-ends analysis.
LOGICS:
 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.
Advantages:
Artificial intelligence would not need any
sleep.
 Unemotional consideration of problems.
 Easier copying.
APPLICATIONS
 Gesture recognition
 Individual voice recognition
 Global voice recognition
 Facial expression recognition for interpretation
of emotion and non verbal queues.
References:
 www.google.com
 www.wikipedia.com
 www.studymafia.org
THANK YOU
Roll no:3253
Vaishnavi
Pawshe

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Vaishnavippt(3253)

  • 2. INTRODUCTION: 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.
  • 3.
  • 4.
  • 5. Approches:  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
  • 6. Problem deducted through A.I DEDUCTION, REASONING, PROBLEM SOLVING. Motion And Manipulation. Natural Language Processing. Social Intelligence.
  • 7. TOOLS:  SEARCHES 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 sub goals, attempting to find a path to a target goal, a process called means-ends analysis.
  • 8. LOGICS:  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.
  • 9. Advantages: Artificial intelligence would not need any sleep.  Unemotional consideration of problems.  Easier copying.
  • 10. APPLICATIONS  Gesture recognition  Individual voice recognition  Global voice recognition  Facial expression recognition for interpretation of emotion and non verbal queues.