Artificial Intelligence Guide

📘Artificial Intelligence (2025–2026 Edition)

Artificial Intelligence Guide (2025–2026 Edition) is a comprehensive syllabus-based app designed for BSCS, BSIT, Software Engineering, and Data Science students. It offers a complete academic foundation for understanding AI theory, classical systems, search techniques, expert systems, and modern intelligent models.

This edition combines theoretical clarity and practical learning, including MCQs, and quizzes to help learners strengthen their understanding and prepare for exams, projects, and AI applications.

Students will explore the evolution of AI — from rule-based systems and search algorithms to neural networks, fuzzy logic, and hybrid AI models, gaining insight into both symbolic and sub-symbolic approaches.

📂 Chapters & Topics

🔹 Chapter 1: Introduction to Artificial Intelligence

-Definition and Scope of AI

-History and Evolution of AI

-Applications of AI (Robotics, Healthcare, Business, etc.)

-Introduction to Common Lisp

🔹 Chapter 2: AI Classical Systems and Problem Solving

-General Problem Solver (GPS)

-Rules and Rule-Based Systems

-Simple Search Strategies

-Means-Ends Analysis

-ELIZA and Natural Language Programs

-Pattern Matching and Rule-Based Translators (OPS-5)

🔹 Chapter 3: Knowledge Representation

-Approaches to Knowledge Representation

-Natural Language Processing Basics

-Rules, Productions, Predicate Logic

-Semantic Networks

-Frames, Objects, and Scripts

🔹 Chapter 4: Search Techniques in AI

-Blind Search: Depth-First, Breadth-First Search

-Heuristic Search: Best-First, Hill Climbing, A* Search

-Game Playing: Min-Max Algorithm, Alpha-Beta Pruning

🔹 Chapter 5: Symbolic Mathematics and Expert Systems

-Solving Algebraic Problems

-Translating English Equations into Algebra

-Simplification and Rewrite Rules

-Meta-Rules and Their Applications

-Symbolic Algebra Systems (Macsyma, PRESS, ATLAS)

🔹 Chapter 6: Logic Programming

-Resolution Principle

-Unification in Predicate Logic

-Horn-Clause Logic

-Introduction to Prolog

-Prolog Programming (Facts, Rules, Queries)

🔹 Chapter 7: Knowledge-Based Systems and Case Studies

-Introduction to Expert Systems

-Case Studies (MYCIN, DENDRAL)

-Knowledge-Based Reasoning

-Applications in Medical, Engineering, and Business Domains

🔹 Chapter 8: Advanced Topics in AI

-Neural Networks (Perceptron, Backpropagation)

-Genetic Algorithms

-Fuzzy Sets and Fuzzy Logic

-Hybrid AI Systems

-Future Trends in AI

🌟 Why Choose This Book/App?

✅ Complete syllabus coverage with academic and practical insights

✅ Includes MCQs, and quizzes for strong conceptual learning

✅ Covers both symbolic and modern AI techniques

✅ Ideal for students and professionals exploring intelligent systems

✅ Perfect resource for AI projects, research, and higher studies

✍ This app is inspired by the authors:

Stuart Russell, Peter Norvig, Elaine Rich, Nils J. Nilsson, Patrick Henry Winston

📥 Download Now!

Master artificial intelligence from foundations to advanced techniques with Artificial Intelligence Guide (2025–2026 Edition) — your complete guide to intelligent systems and computational reasoning.