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Created by:
Last updated:
September 25, 2023
Duration:
Unlimited Duration
FREE
This course includes:
Unlimited Duration
Badge on Completion
Certificate of completion
Unlimited Duration
Description
Artificial Intelligence. Instructor: Prof. P. Dasgupta, Department of Computer Science and Engineering, IIT Kharagpur.
This course provides an introduction to artificial intelligence, covering topics: Problem Solving by Search, Searching with Costs, Heuristic Search: A* and Beyond, Searching Game Trees, Knowledge Based Systems: Logic and Deduction, First Order Logic, Inference in First Order Logic, Logic Programming: Prolog, Prolog: Exercising Control, GraphPLAN and SATPlan, Reasoning with Bayes Networks. (from nptel.ac.in)
Course Curriculum
- Lecture 01 – Introduction to Artificial Intelligence Unlimited
- Lecture 02 – Problem Solving by Search: State Space Search Unlimited
- Lecture 03 – Searching with Costs Unlimited
- Lecture 04 – Informed State Space Search: The Notion of Heuristics, Algorithm A* Unlimited
- Lecture 05 – Heuristic Search: A* and Beyond Unlimited
- Lecture 06 – Problem Reduction Search: AND/OR Graphs Unlimited
- Lecture 07 – Searching Game Trees: Shallow and Deep Pruning, Alpha-Beta Pruning Unlimited
- Lecture 08 – Knowledge Based Systems: Logic and Deduction Unlimited
- Lecture 09 – First Order Logic Unlimited
- Lecture 10 – Inference in First Order Logic Unlimited
- Lecture 11 – Resolution-Refutation Proofs Unlimited
- Lecture 12 – Resolution Refutation Proofs Unlimited
- Lecture 13 – Logic Programming: Prolog Unlimited
- Lecture 14 – Prolog Programming Unlimited
- Lecture 15 – Prolog: Exercising Control Unlimited
- Lecture 16 – Additional Topics: Constraint Logic Programming, Iterative Refinement Search, … Unlimited
- Lecture 17 – Introduction to Planning Unlimited
- Lecture 18 – Planning Algorithms: Partial Order Planning Unlimited
- Lecture 19 – Planning Algorithms: GraphPLAN and SATPlan Unlimited
- Lecture 20 – Planning Algorithms: SATPlan Unlimited
- Lecture 21 – Reasoning under Uncertainty Unlimited
- Lecture 22 – Bayesian Networks Unlimited
- Lecture 23 – Reasoning with Bayes Networks Unlimited
- Lecture 24 – Reasoning with Bayes Networks (cont.) Unlimited
- Lecture 25 – Reasoning under Uncertainty: Issues and Other Approaches Unlimited
- Lecture 26 – Learning: Decision Trees Unlimited
- Lecture 27 – Learning: Neural Networks Unlimited
- Lecture 28 – Back Propagation Learning Unlimited
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