Artificial Intelligence: An Introduction for the Inquisitive Reader
- Length: 344 pages
- Edition: 1
- Language: English
- Publisher: Chapman and Hall/CRC
- Publication Date: 2022-06-09
- ISBN-10: 1032103477
- ISBN-13: 9781032103471
- Sales Rank: #0 (See Top 100 Books)
Artificial Intelligence: An Introduction for the Inquisitive Reader guides readers through the history and development of AI, from its early mathematical beginnings through to the exciting possibilities of its potential future applications. To make this journey as accessible as possible, the authors build their narrative around accounts of some of the more popular and well-known demonstrations of artificial intelligence including Deep Blue, AlphaGo and even Texas Hold’em, followed by their historical background, so that AI can be seen as a natural development of mathematics and computer science. As the book moves forward, more technical descriptions are presented at a pace that should be suitable for all levels of readers, gradually building a broad and reasonably deep understanding and appreciation for the basic mathematics, physics, and computer science that is rapidly developing artificial intelligence as it is today.
Features:
- Only mathematical prerequisite is an elementary knowledge of calculus
- Accessible to anyone with an interest in AI and its mathematics and computer science
- Suitable as a supplementary reading for a course in AI or the History of Mathematics and Computer Science in regard to artificial intelligence.
Cover Half Title Title Page Copyright Page Contents Preface I: The Arrival of AI in the Human World Chapter 1. Game-Playing Machines The IBM Game-Playing Machines IBM Deep Blue Google AlphaGo IBM Project Debater Toronto/DeepMind Video Gamer IBM WatsonQA Carnegie-Mellon Texas Hold'em Player Libratus Chapter 2. Working Machines IBM Physician's Assistant NYU Cancer Diagnostic Coronavirus Attackers Self-Driving Cars Assembly Line Quality Control Computer Programmers Digital Assistants Exoplanet Astronomer Chapter 3. Intelligence Chapter 4. The AI Singularity II: The Artificial Intelligence Infrastructure Chapter 5. Hardware The Computer Chapter 6. Software Chapter 7. Computer Communications Chapter 8. Open Source Software III: From Top to Bottom Chapter 9. Top-Down Artificial Intelligence Japan's Fifth Generation Logicism Versus Intuitionism Chapter 10. Bottom-Up Artificial Intelligence Autonomous Vehicles Chapter 11. Machine Learning Modeling Chapter 12. Markov Chain Monte Carlo Simulation Monte Carlo and the Atomic Bomb IV: Structure and Operation Chapter 13. Artificial Neural Networks Chapter 14. Pattern Recognition Chapter 15. Parameterization Chapter 16. Gradient Descent Chapter 17. Backpropagation Chapter 18. Convolutional Neural Networks V: Progression Chapter 19. The Cross-Entropy Cost Function Chapter 20. Hyperparameterization Chapter 21. Big Data Chapter 22. Massively Parallel Processing Quantum Computing Artificial Neural Networks VI: Powers of Prediction Chapter 23. Predictive Analytics Chapter 24. Restricted Boltzmann Machine Chapter 25. Latent Factors in Collaborative Filtering Exomoon Discovery Chapter 26. Support Vector Machines Computational Chemistry Chapter 27. Reinforcement Learning Chapter 28. Alphago and Alphastar Video Gamer Chapter 29. Game Theory Imperfect Information Part VII: Natural Language Processing Chapter 30. Top-Down Speech Recognition Chapter 31. Bottom Up Speech Recognition Coronavirus Vaccine Chapter 32. Speech Synthesis VIII: The Robotworld Chapter 33. Robots at Work Penetrating the Fog of War Industrial Robots Semiconductor Chip Manufacturing Robot Farm Workers The Robot Healthcare Provider The Robot Coder Chapter 34. The Robot Millennial The Robot Computer Scientist The Robot Scientist Chapter 35. The Robot Future Robots at War The Robot Einstein Afterword About the Authors Appendix: The Euler-Lagrange Equation Bibliography Index
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