-500x500.png "Artificial Intelligence for everyone")
Artificial Intelligence for everyone
- Author Bharat gupta,Sanchita Ghosh & Anisha Halder Roy
- ISBN: 9788199713642
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₹ 349.00
| Book Detail | |
| Category | AICTE, UGC, and university-level curriculum |
| What's special / Useful in this book | Artificial Intelligence for Everyone is a structured and syllabus-oriented textbook that introduces the Fundamental Concepts, Methodologies, and Applications of Artificial Intelligence (AI) for students of higher education in India. The book is designed to meet the academic requirements of AICTE, UGC, and university-level curriculum, while maintaining conceptual clarity and real-world relevance. This book covers the core theoretical foundations of AI, including problem-solving, state-space search, uninformed and informed search strategies, heuristic techniques, constraint satisfaction problems, adversarial search, and optimization-based approaches. It also provides a systematic treatment of knowledge representation and reasoning, with emphasis on first-order logic, inference mechanisms, resolution, and reasoning systems. This textbook serves as a comprehensive learning resource for undergraduate and postgraduate students, educators, and self-learners seeking a balanced understanding of Artificial Intelligence from both academic and applied perspectives. |
| ISBN-13 | 9788199713642 |
| Edition | First Edition (01/06/2026) |
| Pages | 346 |
| Preface | |
| Preface | Artificial Intelligence has emerged as one of the most transformative technologies of the 21st century, influencing almost every sector of society—from education and healthcare to finance, manufacturing, and governance. In the Indian higher-education ecosystem, AI has become a core subject across engineering, science, and interdisciplinary programs. This book, Artificial Intelligence for Everyone, has been written with the objective of providing a clear, structured, and curriculum-aligned introduction to AI for Indian students. The primary aim of this book is to present Artificial Intelligence as a problem-solving discipline grounded in logical reasoning, search, planning, and decision-making under uncertainty. The content is organized in a progressive manner, beginning with introductory concepts and gradually advancing toward more complex reasoning and planning techniques. Early chapters focus on problem-solving methods and search algorithms, including both uninformed and informed strategies. Special attention is given to heuristic design, local search, genetic algorithms, and adversarial search, which form the foundation for intelligent decisionmaking systems. These topics are essential for understanding how intelligent agents operate in deterministic and uncertain environments. |
| Table of Contents | |
| Table of Contents | 1. Awakening the Machine 2. Introduction to Problem Solving in AI 3. Problem-Solving with Advanced Search Techniques 4. Knowledge Representation 5. Uncertainty and Reasoning 6. Planning 7. AI and Society 8. Case Studies |