Artificial Intelligence (AI) is an interdisciplinary field that involves the development of intelligent machines and systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision making, and natural language processing. Prolog is a programming language that is particularly well-suited for AI applications due to its ability to represent and reason about complex knowledge.This course on Artificial Intelligence using Prolog programming is designed to provide students with an in-depth understanding of the key concepts and techniques of AI, as well as the skills to implement AI solutions using Prolog. The course is divided into several modules, each focusing on a different aspect of AI and Prolog programming.
Artificial Intelligence using Prolog Programming
IGNOU and Chhattisgarh Swami Vivekanand Technical University via Swayam
Overview
Syllabus
Week No
Title
Week 1
Introduction to Artificial Intelligence (AI), Problem Solving
State Space Search, - 8 Puzzle Problem
- Water Jug Problem
Week 2
Missionaries and Cannibals Problem
Blind Search: Depth First Search (DFS)
Blind Search: Breadth First Search (BFS)
Informed Search: Heuristic Function, Hill Climbing Search
Week 3
Best First Search
A* Search
AO* Search
Week 4
Constraint Satisfaction
Evaluation Function
Mini-Max Search
Alpha-Beta Pruning
Week 5
Branch and Bound Search
Introduction to KR (Knowledge Representation)
Knowledge Agent
Predicate Logic, WFF, Inference Rules & Theorem Proving, - Forward Chaining ,Backward Chaining
Week 6
Resolution
Propositional Knowledge
Boolean Circuit Agents, Rule-Based Systems
Forward Reasoning: Conflict Resolution, - Backward Reasoning: Use of Backtracking
Week 7
Semantic Net
- Slots, Inheritance
Frames, - Exceptions and Defaults, Attached Predicates
Conceptual Dependency
Week 8
Handling Uncertainty & Learning
Source of Uncertainty
Probabilistic Inference, Bayes’ Theorem
Limitation of Naïve Bayesian System, Dempster-Shafer Theory
Week 9
Learning
Goal Stack Planning
Block World Problem
Week 10
Introduction to Machine Learning (ML) in AI
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Introduction to Natural Language Processing (NLP)
Week 11
Parsing
Machine Translation
Introduction to Expert Systems
Need & Justification for Expert Systems, - Cognitive Problems, Case Studies of Expert Systems
Week 12
Introduction to Prolog Programming, Installation
Facts, Rules, Clauses, and Lists in Prolog
Understanding Logical Operators in Prolog
Prolog Program for Various Relations, List Operations in Prolog, Union and Intersection, Wrap-up Summary of the Course
Taught by
Mr. Ankit Arora and Mrs. Madhuri Gupta
