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Lecture - 1 Introduction to Artificial Intelligence

Lecture - 2 Intelligent Agents

Lecture - 3 State Space Search

Lecture - 4 Uninformed Search

Lecture - 5 Informed Search

Lecture - 6 Informed Search - 2

Lecture - 7 Two Players Games - I

Lecture - 8 Two Players Games - II

Lecture - 9 Constraint Satisfaction Problems - 1

Lecture - 10 Constraint Satisfaction Problems 2

Lecture - 11 Knowledge Representation and Logic

Lecture - 12 Interface in Propositional Logic

Lecture - 13 First Order Logic

Lecture - 14 Reasoning Using First Order Logic

Lecture - 15 Resolution in FOPL

Lecture - 16 Rule Based System

Lecture - 17 Rule Based Systems II

Lecture - 18 Semantic Net

Lecture - 19 Reasoning in Semantic Net

Lecture - 20 Frames

Lecture - 21 Planning - 1

Lecture - 22 Planning - 2

Lecture - 23 Planning - 3

Lecture - 24 Planning - 4

Lecture - 25 Rule Based Expart System

Lecture - 26 Reasoning with Uncertainty - I

Lecture - 27 Reasoning with Uncertainty - II

Lecture - 28 Reasoning with Uncertainty III

Lecture - 29 Reasoning with Uncertainty - IV

Lecture - 30 Fuzzy Reasoning - I

Lecture - 31 Fuzzy Reasoning - II

Lecture - 32 Introduction to Learning - I

Lecture - 33 Introduction to Learning - II

Lecture - 34 Rule Induction and Decision Trees - I

Lecture - 35 Rule Induction and Decision Trees - II

Lecture - 36 Leavning Using neural Networks - I

Lecture - 37 Learning Using Neural Networks - II

Lecture - 38 Probabilistic Learning

Lecture - 39 Natural Language Processing - I

Lecture - 40 Natural Language Processing II

Description:

Instructors: Prof. Anupam Basu and Prof. Sudeshna Sarkar, Department of Computer Science and Engineering, IIT Kharagpur. The course will cover basic ideas and techniques underlying the design of intelligent computer systems. Topics include Introduction to AI and intelligent agents; Solving problems by searching, heuristic search techniques, constraint satisfaction problems, stochastic search methods; Knowledge and reasoning: propositional logic, first-order logic, situation calculus; Theorem proving in first-order logic; Planning, partial-order planning; Uncertain knowledge and reasoning; Learning: an overview of different forms of learning, learning decision trees, neural networks; Introduction to natural language processing.

Artificial Intelligence

NPTEL

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#Computer Science #Artificial Intelligence #Humanities #Philosophy #Logic #Personal Development #Self Improvement #Critical Thinking #Reasoning #Constraint Satisfaction Problems

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