A first course in artificial intelligence / Violet Steele.
Material type:
TextPublisher: London, United Kingdom : Vintage Press LTD, c2025Edition: 1st editionDescription: ix, 280 pages : colored illustrations ; 24 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781836831563 [hardbound]Subject(s): Artificial intelligence | Problem solving -- Data processing | Knowledge representation (Computer science)| Item type | Current location | Call number | Status | Date due | Barcode |
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Subject Reference
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College Library Subject Reference | 006.3 St32 2025 (Browse shelf) | Available | 3UCBL000029771 |
Includes bibliographical references, index.
Contents: Preface — 1. Introduction — 2. Artificial intelligence models — 3. Artificial intelligence applications — 4. State space search — 5. Heuristic search — 6. Randomized search and emergent systems — 7. Finding optimal paths — 8. Problem decomposition — 9. Planning — 10. Knowledge based reasoning — 11. Logic and inferences — 12. Machine learning — 13. Concepts and language — Bibliography — Index.
"A First Course in Artificial Intelligence, a comprehensive introduction designed to demystify the captivating world of AI. As we stand on the cusp of a technological revolution, understanding artificial intelligence is more crucial than ever. This book aims to equip readers with the foundational knowledge and skills necessary to navigate this rapidly evolving field, whether you are a student, a professional seeking to enhance your skill set, or simply an enthusiastic learner.
Artificial intelligence has permeated every facet of our lives, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnostics. Yet, despite its omnipresence, many people find Al daunting. This book seeks to bridge that gap by presenting complex concepts in an accessible and engaging manner. Our approach emphasizes clarity and practicality, allowing readers to grasp both the theoretical underpinnings and real-world applications of AI.
Structured as a progressive learning journey, the text begins with fundamental principles, including key concepts in machine learning, neural networks, and natural language processing. Each chapter builds on the last, introducing practical examples and exercises that encourage hands-on experimentation. By integrating theory with practice, we aim to foster a deeper understanding of how Al systems function and how they can be harnessed to solve real-world problems.
Moreover, we recognize the importance of ethics and responsibility in Al development. Throughout the book, we emphasize the need for ethical considerations, encouraging readers to think critically about the implications of Al technologies. We hope to inspire a generation of Al practitioners who prioritize responsible innovation and contribute positively to society.
This book is not just for those with a background in computer science; it is designed to be inclusive, welcoming readers from diverse disciplines. Whether you are familiar with programming or just starting your journey, our goal is to make Al accessible and engaging for all.
As you embark on this exploration of artificial intelligence, remember that this is a field defined by curiosity and innovation. We invite you to challenge yourself ask questions, and apply what you learn to your own interests and projects. Together, let's delve into the extraordinary possibilities that AI offers and prepare for a future where technology and humanity converge in exciting new wats. Welcome to the journey of discovery in artificial intelligence!" —Preface
Adult
Purchased Ortega, Eric College of Computer Studies Computer Science
Text in English

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