ARTIFICIAL INTELLIGENCE BY Dr. Laxmi Choudhary,Mrs. Bhanupriya Sharma,Mr. Avinash Bhandiya,Dr. Satya Narayan
Indo-continental Academic Publishers · Zenodo (CERN European Organization for Nuclear Research) · 2026
Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the twenty-first century, influencing almost every domain of human activity—from education, healthcare, and finance to manufacturing, transportation, governance, and scientific research. What began as an academic pursuit aimed at mimicking human intelligence has now evolved into a powerful collection of theories, algorithms, and systems capable of learning, reasoning, perception, and decision-making at unprecedented scales. The book Artificial Intelligence has been conceived with the objective of providing a comprehensive, structured, and contemporary understanding of AI, addressing both foundational concepts and modern advancements. Designed as a multi-author academic volume, this book brings together the collective expertise of scholars, researchers, and practitioners from diverse backgrounds, ensuring depth, clarity, and relevance across chapters. This book systematically introduces readers to the core principles of artificial intelligence, including intelligent agents, problem-solving strategies, search techniques, knowledge representation, reasoning, planning, machine learning, neural networks, natural language processing, computer vision, and expert systems. In addition, emerging topics such as deep learning, reinforcement learning, explainable AI, ethical considerations, and real-world applications are discussed to reflect the rapidly evolving nature of the field. Each chapter has been authored with a strong pedagogical focus, blending theoretical explanations with illustrative examples, diagrams, algorithms, and application-oriented discussions. The content is structured to support undergraduate and postgraduate students, while also serving as a valuable reference for researchers, educators, and industry professionals seeking to strengthen their understanding of AI concepts and methodologies. A key strength of this multi-author volume lies in its interdisciplinary perspective. By integrating viewpoints from computer science, engineering, data science, cognitive science, and applied domains, the book highlights both the technical foundations and societal implications of artificial intelligence. Special attention is given to responsible AI development, addressing challenges related to ethics, bias, transparency, and future impacts on humanity. We hope that this book will inspire curiosity, critical thinking, and innovation among readers, and will serve as a reliable academic resource for teaching, learning, and research in artificial intelligence. The editors sincerely believe that this collaborative effort will contribute meaningfully to the growing body of AI literature and support the development of intelligent technologies for the benefit of society.