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Machines like us : toward AI with common sense

By: Brachman, Ronald J.
Contributor(s): Levesque, Hector J.
Publisher: Cambridge : MIT Press, 2022Description: xii, 306 p.; ill. 24 cm.ISBN: 9780262046794.Subject(s): Artificial Intelligence | Human-Computer Interaction (HCI) | Knowledge representation | Information theory | Technology Studies | Cyc system | Deep learning | Common sense | Eyewitness memory | Face recognition | GPT system | Intelligent behavior | Knowledge base | Long-tail phenomena | Minsky,Marvin | Neural network | Open vs. closed system | Reasoning module | Self-driving car | Taxonomy | Uncertainty of belief | XCON systemDDC classification: 006.3 Summary: The authors of Machines Like Us explore what it would take to endow computers with the kind of common sense that humans depend on every day--critically needed for AI systems to be successful in the world and to become trustworthy.
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Books 006.3 BRA (Browse shelf) Available 033447

Includes bibliographical references and index.

The authors of Machines Like Us explore what it would take to endow computers with the kind of common sense that humans depend on every day--critically needed for AI systems to be successful in the world and to become trustworthy.

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