Prolog in Artificial Intelligence

Simply Easy Learning

Created by Arnab Chakraborty, Last Updated 08-Aug-2019, Language:English

Description

This tutorial provides introductory knowledge on Artificial Intelligence. It would come to a great help if you are about to select Artificial Intelligence as a course subject. You can briefly know about the areas of AI in which research is prospering. It also covers the implementation of AI problems using Prolog.

Audience

This tutorial is prepared for the students at beginner level who aspire to learn Artificial Intelligence and having a knowledge in Prolog programming.

Course Content

Artificial Intelligence 3 Lectures 00:07:35
- Artificial Intelligence - Course Overview
  
  Preview
  
  00:01:48
- Artificial Intelligence - Introduction
  
  Preview
  
  00:03:19
- Artificial Intelligence - Goals
  
  Preview
  
  00:02:28
Prolog 6 Lectures 00:39:42
- Prolog - Overview
  
  00:03:05
- Prolog - Applications of Prolog
  
  00:03:29
- Prolog - Download and Installation of GNU Prolog
  
  00:05:09
- Prolog - Relations in Prolog
  
  00:02:38
- Prolog - Programming Facts, Rules, Queries
  
  00:12:02
- Prolog - Family Relationship in Prolog
  
  00:13:19
Syntax and Meaning of Prolog Programs 4 Lectures 00:11:06
- Prolog Data Objects - Introduction
  
  00:02:58
- Prolog Data Objects - Atoms and Numbers
  
  00:03:14
- Prolog Data Objects - Variables
  
  Preview
  
  00:02:22
- Prolog Data Objects - Structures
  
  00:02:32
Lists and Its Operations 7 Lectures 00:28:29
- Prolog - Representation of Lists
  
  00:03:47
- Prolog - List Operations Membership
  
  00:04:06
- Prolog - List Operations Length Calculation
  
  00:03:13
- Prolog - List Operations Concatenation
  
  00:03:22
- Prolog - List Operations Union of Two Lists
  
  00:04:04
- Prolog - List Operations Intersection of Two Lists
  
  00:03:45
- Prolog - List Operations Merge Sort on a List
  
  00:06:12
Prolog Operators 2 Lectures 00:06:11
- Prolog - Comparison Operators
  
  00:01:56
- Prolog - Arithmetic Operators
  
  00:04:15
Prolog - Using Structures 2 Lectures 00:05:33
- Prolog - Using Structures
  
  00:03:06
- Prolog - Matching
  
  00:02:27
Controlling Backtracking 7 Lectures 00:35:24
- Prolog - Preventing Backtracking
  
  00:09:04
- Prolog - Using Cut Example 1
  
  00:08:28
- Prolog - Using Cut Example 2
  
  00:05:08
- Prolog - Using Cut Example 3
  
  00:04:23
- Prolog - Negation as Failure
  
  00:02:59
- Prolog - Using Different Relation
  
  00:03:30
- Prolog - Not Relation
  
  00:01:52
Built-In Predicates 7 Lectures 00:53:33
- Prolog - Identifying Terms
  
  00:11:15
- Prolog - Decomposing Structures
  
  00:12:29
- Prolog - Collecting All Solutions
  
  00:03:10
- Prolog - Findall/3
  
  00:06:27
- Prolog - Setof/3
  
  00:09:53
- Prolog - Bagof/3
  
  00:05:31
- Prolog - Inbuilt Mathematical Predicates
  
  00:04:48
Operations on Data Structure 19 Lectures 01:53:35
- Artificial Intelligence - Bubble Sort
  
  00:05:14
- Artificial Intelligence - Insertion Sort
  
  00:05:13
- Artificial Intelligence - Quick Sort
  
  00:06:07
- Implementation of Tree Data Structure
  
  00:05:49
- More On Tree Data Structure
  
  00:05:12
- Some More on Tree Data Structure
  
  00:09:58
- Checking Validity of a Binary Tree
  
  00:05:29
- Counting Number of Leaf Nodes in Binary Tree
  
  00:04:16
- List All Leaf Nodes of Binary Tree
  
  00:03:58
- List All Internal Nodes of Binary Tree
  
  00:05:06
- List All Nodes at a Given Level of Binary Tree
  
  00:05:02
- In Order Traversal of Binary Tree
  
  00:04:37
- Pre Order Traversal of Binary Tree
  
  00:04:36
- Post Order Traversal of Binary Tree
  
  00:05:09
- Searching Item in a Binary Search Tree
  
  00:06:14
- Finding All Possible Balanced Binary Trees
  
  00:05:41
- Artificial Intelligence - Height Balanced Binary Tree
  
  00:09:31
- Artificial Intelligence - Graph Structures and Paths
  
  00:06:08
- Artificial Intelligence - Problem on Graph Coloring
  
  00:10:15
Basic Problem Solving Strategies 7 Lectures 01:06:22
- Artificial Intelligence - Towers of Hanoi
  
  00:07:46
- Artificial Intelligence - Chess Queens Challenge Puzzle
  
  00:08:13
- Artificial Intelligence - Water Jug Problem
  
  00:10:39
- Artificial Intelligence - A Puzzle on 8 Blocks Movement
  
  00:07:37
- Artificial Intelligence - Block Rearrangement Problem
  
  00:10:12
- Artificial Intelligence - Monkey and Banana Problem
  
  00:12:34
- Artificial Intelligence - Farmer Crosses River Puzzle
  
  00:09:21
Expert System 6 Lectures 00:33:45
- Expert System - Introduction
  
  00:04:57
- Expert System - Components
  
  00:04:05
- Why Expert System?
  
  Preview
  
  00:03:31
- Expert System - Application
  
  00:07:08
- Expert System - Case Study a Robot Visits a Zoo
  
  00:10:53
- Expert System - Problems and Advantages of Expert System
  
  00:03:11
Misc. Problem Solve 8 Lectures 00:42:31
- Truth Table Constructions For Logical Expressions
  
  00:05:32
- Artificial Intelligence - More on Truth Tables
  
  00:03:42
- Artificial Intelligence - Multi Variable Truth Tables
  
  00:03:21
- Artificial Intelligence - Calculation of N Bit Gray Code
  
  00:06:07
- Artificial Intelligence - A Puzzle On Mathematics
  
  00:06:01
- Artificial Intelligence - Expressing Number in Words
  
  00:04:04
- Artificial Intelligence - Validation of Identifier
  
  00:05:11
- Artificial Intelligence - DFA Parser
  
  00:08:33

Arnab Chakraborty

Corporate Trainer

Prof. Arnab Chakraborty is a Calcutta University alumnus with B.Sc. in Physics Hons Gold medalist, B. Tech and M. Tech in Computer Science and Engineering has twenty-six+ years of academic teaching experience in different universities, colleges and thirteen+ years of corporate training experiences for 170+ companies and trained 50,000+ professionals. He has also completed MBA from Vidyasagar University with dual specialization in Human Resource Management and Marketing Management. He is NLP and PMP trained, "Global DMAIC Six Sigma Master Black Belt" certified by IQF (USA). He is certified by ISA (USA) on "Control and Automation System". He is "Global ITIL V3 Foundation" certified as awarded by APMG (UK). Qualified for "Accredited Management Teacher" by AIMA (India). "Star Python" Global Certified from Star Certification (USA). "Certified Scrum Master (CSM)" Global Certification from Scrum Alliance (USA). He is also empaneled trainer for multiple corporates, e.g. HP, Accenture, IBM etc