JNTUA Artificial Intelligence Notes / Study Materials

JNTUA Artificial Intelligence Notes / Study Materials - Set 1
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JNTUA Artificial Intelligence Notes / Study Materials - Set 2
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JNTUA Artificial Intelligence Notes / Study Materials - Set 3
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JNTUA Artificial Intelligence - PPT Notes / Study Materials
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SYLLABUS & CONTENTS

Unit I
Foundations of AI:
What is AI, History of AI,
Strong and weak AI,
The State of the Art.
Intelligent Agents:
Agents and Environments,
Good Behavior:
The Concept of Rationality,
The Nature of Environments,
The Structure of Agents.

Unit II
Solving Problems by Searching:
Problem Solving Agents,
Example Problems,
Searching for Solutions,
Uninformed Search Strategies,
Informed (Heuristic) Search Strategies,
Heuristic Functions.

Unit III
Knowledge Representation:
Ontological Engineering,
Categories and Objects, Events,
Mental Events and Mental Objects,
Reasoning Systems for Categories,
Reasoning with Default Information,
The Internet Shopping World.

Unit IV
Learning from Examples:
Forms of Learning,
Supervised Learning,
Learning Decision Trees,
Evaluating and Choosing the Best Hypothesis,
The Theory of Learning,
Regression and Classification with Learner Models,
Nonparametric Models,
Support Vector Machines,
Ensemble Learning,
Practical Machine Learning

Unit V
Learning Probabilistic Models:
Statistical Learning,
Learning with Complete data,
Learning with Hidden variables:
The EM Algorithm.