Artificial Intelligence by Prof. Deepak Khemani

Artificial Intelligence by Prof. Deepak Khemani

Mod-01 Lec-01 Artificial Intelligence: Introduction

Mod-01 Lec-02 Introduction to AI

Mod-01 Lec-03 AI Introduction Philosophy

Mod-01 Lec-04 AI Introduction

Mod-01 Lec-05 Introduction Philosophy

Mod-01 Lec-06 State Space Search Intro

Mod-01 Lec-07 Search-DFS and BFS

Mod-01 Lec-8 Search DFID

Mod-01 Lec-9 Heuristic Search

Mod-01 Lec-10 Hill Climbing

Mod-01 Lec-11 Solution Space Search,Beam Search

Mod-01 Lec-12 TSP Greedy Methods

Mod-01 Lec-13 Tabu Search

Mod-01 Lec-14 Optimization I (Simulated Annealing)

Mod-01 Lec-15 Optimization II (Genetic Algorithms)

Mod-01 Lec-16 Population Based Methods for Optimization

Mod-01 Lec-17 Population Based Methods II

Mod-01 Lec-18 Branch and Bound,Dijkstra’s Algorithm

Mod-01 Lec-19 A* Algorithm

Mod-01 Lec-20 Admissibility of A*

Mod-01 Lec-21 A* Monotone Property,Iteractive Deeping A*

Mod-01 Lec-22 Recursive Best First Search,Sequence Allignment

Mod-01 Lec-23 Pruning the Open and Closed Lists

Mod-01 Lec-24 Problem Decomposition with goal Trees

Mod-01 Lec-25 AO * Algorithm

Mod-01 Lec-26 Game Playing

Mod-01 Lec-27 Game Playing Minimax Search

Mod-01 Lec-28 Game Playing AlphaBeta

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