This document provides an overview of artificial intelligence, including its definition, history, approaches, tools, evaluation, and applications. It defines AI as the science and engineering of making intelligent machines, especially intelligent computer programs, and studying how the human brain thinks, learns, decides, and solves problems. The history section notes important milestones in AI's development from ancient myths to the modern field's founding in 1956. The document also outlines various traits of intelligent systems, approaches to AI, tools used in AI research and development, methods for evaluating AI systems, and applications of AI technology.

1. ARTIFICIAL INTELLIGENCE
PRESENTED BY
M.V.AKHIL PREM KUMAR

2. CONTENTS
• Definition
• History
• Traits of an intelligent system
• Approaches
• Tools
• Evaluation Progress
• Applications
• Conclusion

3. WHAT IS INTELLIGENCE?
The computational part of ability to achieve
goals in the world

4. WHAT IS AN ARTIFICIAL
INTELLIGENCE
The science and engineering of making
intelligent machines, especially intelligent
computer programs
Studying of how human brain thinks,learn,
decide, and work while trying to solve a
problem

5. HISTORY
• Thinking machines and artificial beings appear
in greek myths
• Alan Turning’s theory of computation formed
the basis of development of electronic
computer
• The field of AI was found at a conference on
the campus of Dartmouth college in 1956
• John mcCarthy is the father of AI

6. TRIATS OF AN INTELLIGENT
SYSTEM
• Deduction,Reasoning & Problem solving
• Knowledge Representation
• Planning & Learning
• Natural Language Processing
• Motion and Manipulation
• Perception & Social Intelligence
• Creativity
• General Intelligence

7. ASMIO

8. KISMET

9. TOPIO

10. APPROACHES
• Cybernetics and Brain simulation
• Symbolic
• Sub-symbolic
• Statistical
• Integrating the approaches

11. TOOLS
• Search and Optimization
• Logic
• Probabilistic method for uncertain reasoning
• Classifier and Statistical learning methods
• Neural networks
• Control Theory
• Languages

12. EVALUATION PROCESS
• In 1950,Alam Turning proposed a general
procedure to test the intelligence of an agent
known as “Turning Test”
• The broad classes of outcome for an AI test are:
(A)Optimal
(B)Strong super-human
(C)Super-human
(D)Sub-human

13. APPLICATIONS OF AI
• Expert System
• Natural Language Processing(NLP)
• Speech Recognition
• Computer Vision
• Robotics
• Automatic Programming

14. FUTURE GENERATION PREDICTION
Positives Negatives

15. Any Queries ?????