Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems. This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's AI engineers. AI is becoming more and more a part of everyone's life. The technology is already embedded in face-recognizing cameras, speech-recognition software, Internet search engines, and health-care robots, among other applications. The book's many diagrams and easy-to-understand descriptions of AI programs will help the casual reader gain an understanding of how these and other AI systems actually work. Its thorough (but unobtrusive) end-of-chapter notes containing citations to important source materials will be of great use to AI scholars and researchers. This book promises to be the definitive history of a field that has captivated the imaginations of scientists, philosophers, and writers for centuries.
|Publisher:||Cambridge University Press|
|Edition description:||New Edition|
|Product dimensions:||6.10(w) x 9.10(h) x 1.10(d)|
Table of Contents
Part I. Beginnings: 1. Dreams and dreamers; 2. Clues; Part II. Early Explorations: 1950s and 1960s: 3. Gatherings; 4. Pattern recognition; 5. Early heuristic programs; 6. Semantic representations; 7. Natural language processing; 8. 1960s infrastructure; Part III. Efflorescence: Mid-1960s to Mid-1970s: 9. Computer vision; 10. 'Hand-Eye' research; 11. Knowledge representation and reasoning; 12. Mobile robots; 13. Progress in natural language processing; 14. Game playing; 15. The dendral project; 16. Conferences, books, and funding; Part IV. Applications and Specializations: 1970s to Early 1980s: 17. Speech recognition and understanding systems; 18. Consulting systems; 19. Understanding queries and signals; 20. Progress in computer vision; 21. Boomtimes; Part V. 'New Generation' Projects: 22. The Japanese create a stir; 23. Darpa's strategic computing program; Part VI. Entr'acte: 24. Speed bumps; 25. Controversies and alternative paradigms; Part VII. The Growing Armamentarium: From the 1980s Onward: 26. Reasoning and representation; 27. Other approaches to reasoning and representation; 28. Bayesian networks; 29. Machine learning; 30. Natural languages and natural scenes; 31. Intelligent system architectures; Part VIII. Modern AI: Today and Tomorrow: 32. Extraordinary achievements; 33. Ubiquitous artificial intelligence; 34. Smart tools; 35. The quest continues.