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 Course  Lecture
  • Title: Artificial Intelligence
  • Department: Computer Science and Engineering
  • Author: Prof. P.Dasgupta
  • University: IIT Kharagpur
  • Type: WebLink
  • Abstract:
    1 - Introduction to Artificial Intelligence
    2 - Problem Solving by Search
    3 - Searching with Costs
    4 - Informed State Space Search
    5 - Heuristic Search: A* and Beyond
    6 - Problem Reduction Search: AND/OR Graphs
    7 - Searching Game Trees
    8 - Knowledge Based Systems: Logic and Deduction
    9 - First Order Logic
    10 - Inference in First Order Logic
    11 - Resolution - Refutation Proofs
    12 - Resolution Refutation Proofs
    13 - Logic Programming : Prolog
    14 - Prolog Programming
    15 - Prolog: Exercising Control
    16 - Additional Topics
    17 - Introduction to Planning
    18 - Partial Order Planning
    19 - GraphPLAN and SATPlan
    20 - SATPlan
    21 - Reasoning Under Uncertainity
    22 - Bayesian Networks
    23 - Reasoning with Bayes Networks
    24 - Reasoning with Bayes networks (Contd.)
    25 - Reasoning Under Uncertainity: Issues
    26 - Learning : Decision Trees
    27 - Learning : Neural Networks
    28 - Back Propagation Learning

List of Lectures

Back Propagation Learning
Learning : Neural Networks
Learning : Decision Trees
Reasoning Under Uncertainity: Issues
Reasoning With Bayes Networks (contd.)
Reasoning With Bayes Networks
Bayesian Networks
Reasoning Under Uncertainity
Satplan
Graphplan And Satplan
Partial Order Planning
Introduction To Planning
Additional Topics
Prolog: Exercising Control
Prolog Programming
Resolution Refutation Proofs
Logic Programming : Prolog
Resolution Refutation Proofs
Inference In First Order Logic
First Order Logic
Knowledge Based Systems: Logic And Deduction
Searching Game Trees
Problem Reduction Search: And/or Graphs
Heuristic Search: A* And Beyond
Informed State Space Search
Searching With Costs
Problem Solving By Search
Introduction To Artificial Intelligence
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