Common Sense, the Turing Test, and the Quest for Real AI
eBook - ePub

Common Sense, the Turing Test, and the Quest for Real AI

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Common Sense, the Turing Test, and the Quest for Real AI

About this book

What can artificial intelligence teach us about the mind? If AI's underlying concept is that thinking is a computational process, then how can computation illuminate thinking? It's a timely question. AI is all the rage, and the buzziest AI buzz surrounds adaptive machine learning: computer systems that learn intelligent behavior from massive amounts of data. This is what powers a driverless car, for example. In this book, Hector Levesque shifts the conversation to "good old fashioned artificial intelligence," which is based not on heaps of data but on understanding commonsense intelligence. This kind of artificial intelligence is equipped to handle situations that depart from previous patterns—as we do in real life, when, for example, we encounter a washed-out bridge or when the barista informs us there's no more soy milk.

Levesque considers the role of language in learning. He argues that a computer program that passes the famous Turing Test could be a mindless zombie, and he proposes another way to test for intelligence—the Winograd Schema Test, developed by Levesque and his colleagues. "If our goal is to understand intelligent behavior, we had better understand the difference between making it and faking it," he observes. He identifies a possible mechanism behind common sense and the capacity to call on background knowledge: the ability to represent objects of thought symbolically. As AI migrates more and more into everyday life, we should worry if systems without common sense are making decisions where common sense is needed.

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Yes, you can access Common Sense, the Turing Test, and the Quest for Real AI by Hector J. Levesque in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title page
  3. Copyright page
  4. Dedication
  5. Table of Contents
  6. Preface
  7. Acknowledgments
  8. 1 What Kind of AI?
  9. 2 The Big Puzzle
  10. 3 Knowledge and Behavior
  11. 4 Making It and Faking It
  12. 5 Learning with and without Experience
  13. 6 Book Smarts and Street Smarts
  14. 7 The Long Tail and the Limits to Training
  15. 8 Symbols and Symbol Processing
  16. 9 Knowledge-Based Systems
  17. 10 AI Technology
  18. End Notes
  19. References
  20. Index