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Artificial Intelligence
By
Abbas Hashmi & Sushant GoreT.E. CSE
WIT Solapur
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Introduction
Origin – 1956Definition : Artificial Intelligence (AI) is the area of
computer science focusing on creating machines that can engage on behaviors that humans consider intelligent.
The scope and view of Artificial Intelligence
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APPROACHES
Bottom-up and top-down
-Bottom-up theorists believe the best way to achieve artificial intelligence is to build electronic replicas of the human brain's complex network of neurons, while the top-down approach attempts to mimic the brain's behavior with computer programs.
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Neural Networks
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Expert Systems
Large?
Flys? Flys?
Multicored?
Large Beak?
Red?
Crest?
Bald?
NO
NO
NO
NO
NO
NO
NO
NO
YES
YES
YES
YES
YES
YES
YES
YES
PenguinOstrich
Parrot
Robin Crow Eagle
Vulture
The logic of expert systems
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AI Techniques in Software Engineering
Traditional software development process.
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Knowledge-based techniques in AI
Expert System development.
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RISK MANAGEMENT
Automatic Programming System (APS)
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Applications
Game playingSpeech recognitionUnderstanding natural languagesComputer visionExpert systemHeuristic classification
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Advantages
Medical diagnosis, stock trading, law, scientific discovery and toys
Computer processors may be of 1000GHz in futureReduced fraudsIn Robotics
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A police robot handles a live bomb
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Disadvantages
Conflicts between Androids and HumansAI cant
Understand natural language robustly
Exhibit true autonomy and intelligence
Learn a natural language
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Conclusion
Two important functions in AI programs
-what can be done to solve a problem
-solving a problem efficiently The behavior of the human brainWe have a choice to go tomorrow or day after
tomorrowAI in collaboration with different branches will
create a complex improved revolution in the world very soon
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