The Quest for Artificial Intelligence 1st Edition by Nils Nilsson

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Author: Nils Nilsson

 Artificial intelligence (AI) may lack an agreed-upon definition, but someone writing about its history must have some kind of definition in mind. For me, artificial intelligence is that activity devoted to making machines intelligent, and intelligence is that quality that enables an entity to function appropriately and with foresight in its environment. According to that definition, lots of things humans, animals, and some machines are intelligent. Machines, such as “smart cameras,” and many animals are at the primitive end of the extended continuum along which entities with various degrees of intelligence are arrayed. At the other end are humans, who are able to reason, achieve goals, understand and generate language, perceive and respond to sensory inputs, prove mathematical theorems, play challenging games, synthesize and summarize information, create art and music, and even write histories. Because “functioning appropriately and with foresight” requires so many different capabilities, depending on the environment, we actually have several continua of intelligences with no particularly sharp discontinuities in any of them. For these reasons, I take a rather generous view of what constitutes AI. That means that my history of the subject will, at times, include some control engineering, some electrical engineering, some statistics, some linguistics, some logic, and some computer science.

Table of contents: 

1. Dreams and Dreamers

2. Clues

3. Gatherings

4. Pattern Recognition

5. Early Heuristic Programs

6. Semantic Representations

7. Natural Language Processing

8. 1960s’ Infrastructure

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

17. Speech Recognition and Understanding Systems

18. Consulting Systems

19. Understanding Queries and Signals

20. Progress in Computer Vision

21. Boomtimes

22. The Japanese Create a Stir

23. DARPA’s Strategic Computing Program

24. Speed Bumps

25. Controversies and Alternative Paradigms

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

32. Extraordinary Achievements

33. Ubiquitous Artificial Intelligence

34. Smart Tools

35. The Quest Continues

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