Interactive Task Learning
Humans, Robots, and Agents Acquiring New Tasks through Natural Interactions
Experts from a range of disciplines explore how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other.Humans are not limited to a fixed set of innate or preprogrammed tasks. We learn quickly through language and other forms of natural interaction, and we improve our performance and teach others what we have learned. Understanding the mechanisms that underlie the acquisition of new tasks through natural interaction is an ongoing challenge. Advances in artificial intelligence, cognitive science, and robotics are leading us to future systems with human-like capabilities. A huge gap exist…
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Produktdetails
Weitere Autoren: Laird, John E. (Professor, University of Michigan) (Hrsg.)
- ISBN: 978-0-262-03882-9
- EAN: 9780262038829
- Produktnummer: 27010049
- Verlag: MIT Press Ltd
- Sprache: Englisch
- Erscheinungsjahr: 2019
- Seitenangabe: 354 S.
- Masse: H16.1 cm x B23.8 cm x D2.6 cm 832 g
- Abbildungen: 9 color illus., 5 b&w illus., 22 halftones; 31 Illustrations, unspecified
- Gewicht: 832
- Sonstiges: Professional & Vocational
Über den Autor
Kevin A. Gluck is a Principal Cognitive Scientist at the U.S. Air Force Research Laboratory.John E. Laird is John L. Tishman Professor of Engineering in the Computer Science and Engineering Department at the University of Michigan.
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