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Computer Science and Engineering
Artificial Intelligence (Web)
Syllabus
Co-ordinated by :
IIT Kharagpur
Available from :
2009-12-31
Lec :
1
Modules / Lectures
Introduction
Introduction to AI
Introduction to Agent
Problem Solving using Search- (Single agent search)
Introduction to State Space Search Version two
Uninformed Search
Informed Search Strategies-I
Informed Search Strategies-II
Problem Solving using Search-(Two agent)
Adversarial Search
Two agent games : alpha beta pruning
Constraint satisfaction problems
Constraint satisfaction problems - I
Constraint satisfaction problems - II
Knowledge Representation and Logic (Propositional Logic)
Propositional Logic
Propositional Logic inference rules
Knowledge Representation and Logic (First Order Logic)
First Order Logic - I
First Order Logic - II
Inference in FOL - I
Inference in FOL - II
Knowledge Representation and Logic (Rule based Systems)
Rule based Systems - I
Rule based Systems - II
Other representation formalisms
Semantic nets
Frames - I
Frames II
Planning
Logic based planning
Planning systems
Planning algorithm - I
Planning algorithm - II
Reasoning with Uncertainty - Probabilistic reasoning
Reasoning with Uncertain information
Probabilistic Inference
Bayes Networks
A Basic Idea of Inferencing with Bayes Networks
Reasoning with uncertainty-Fuzzy Reasoning
Other Paradigms of Uncertain Reasoning
Fuzzy Set Representation
Machine Learning
Fuzzy Reasoning - Continued
Learning : Introduction
Learning From Observations
Rule Induction and Decision Tree - I
Rule Induction and Decision Tree - II
Learning and Neural Networks - I
Neural Networks - II
Neural Networks - III
Natural Language Processing
Issues in NLP
Parsing
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