Basic Introduction of Artificial Intelligence

This book offers a comprehensive introduction to Artificial Intelligence (AI), exploring its vast and interdisciplinary nature. Covering core topics like logic, probability, and continuous mathematics, as well as perception, reasoning, learning, and action, it presents AI in a unified framework rather than as isolated subfields. New in this edition, the book includes the latest advancements in AI, including practical applications such as speech recognition, autonomous vehicles, and robotics. Theoretical progress in areas like machine learning and computer vision is also discussed, providing a holistic view of the field’s evolution and its future potential.

This book provides a fundamental introduction to Artificial Intelligence (AI), synthesizing the diverse aspects of the field into a cohesive framework. It covers key areas such as logic, probability, perception, reasoning, learning, and action, alongside practical applications like speech recognition, machine translation, and autonomous systems. The updated edition reflects recent developments in AI, including algorithmic breakthroughs, advances in machine learning, and the evolution of AI applications in real-world scenarios. Aimed at readers seeking a broad understanding of AI, this book is an essential resource for those entering the field or looking to grasp its contemporary landscape.

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