Includes bibliographical references (pages [279]-295) and index.
Contents:
1. The road to common sense -- 2. Common sense in humans -- 3. Expertise in AI systems -- 4. Knowledge and its representation -- 5. A commonsense understanding of the world -- 6. Commonsense knowledge -- 7. Representation and reasoning, part I -- 8. Representation and reasoning, part II -- 9. Common sense in action -- 10. Steps toward implementation -- 11. Building trust.
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"---Provided by publisher.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.