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

Levesque, Hector J.

ISBN 10: 0262036045 / ISBN 13: 9780262036047

Published by Mit Pr, 2017

About this Item

Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

Seller Inventory # S_438439856

Bibliographic Details

• Title: Common Sense, the Turing Test, and the Quest for Real AI
• Publisher: Mit Pr
• Publication Date: 2017
• Language: English
• ISBN 10: 0262036045
• ISBN 13: 9780262036047
• Binding: hardcover
• Condition: Very Good

About this title

Synopsis

What artificial intelligence can tell us about the mind and intelligent behavior.

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.

About the Author

Hector J. Levesque is Professor Emeritus in the Department of Computer Science at the University of Toronto. He is the author of C ommon Sense, the Turing Test, and the Quest for Real AI, coauthor (with Gerhard Lakemeyer) of The Logic of Knowledge Bases, and coeditor (with Ronald J. Brachman) of Knowledge Representation and Reasoning, all three published by the MIT Press.