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Interactive Task Learning Volume 26 Humans Robots and Agents Acquiring New Tasks through Natural Interactions 2019 Edition at Meripustak

Interactive Task Learning Volume 26 Humans Robots and Agents Acquiring New Tasks through Natural Interactions 2019 Edition by Kevin A. Gluck, John E. Laird, MIT Press Ltd

Books from same Author: Kevin A. Gluck, John E. Laird

Books from same Publisher: MIT Press Ltd

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  • General Information  
    Author(s)Kevin A. Gluck, John E. Laird
    PublisherMIT Press Ltd
    ISBN9780262038829
    Pages354
    BindingHardback
    LanguageEnglish
    Publish YearSeptember 2019

    Description

    MIT Press Ltd Interactive Task Learning Volume 26 Humans Robots and Agents Acquiring New Tasks through Natural Interactions 2019 Edition by Kevin A. Gluck, John E. Laird

    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 exists, however, between the highly specialized niche capabilities of current machine learning systems and the generality, flexibility, and in situ robustness of human instruction and learning. Drawing on expertise from multiple disciplines, this Strüngmann Forum Report explores how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other.The contributors consider functional knowledge requirements, the ontology of interactive task learning, and the representation of task knowledge at multiple levels of abstraction. They explore natural forms of interactions among humans as well as the use of interaction to teach robots and software agents new tasks in complex, dynamic environments. They discuss research challenges and opportunities, including ethical considerations, and make proposals to further understanding of interactive task learning and create new capabilities in assistive robotics, healthcare, education, training, and gaming.Contributors Tony Belpaeme, Katrien Beuls, Maya Cakmak, Joyce Y. Chai, Franklin Chang, Ropafadzo Denga, Marc Destefano, Mark d'Inverno, Kenneth D. Forbus, Simon Garrod, Kevin A. Gluck, Wayne D. Gray, James Kirk, Kenneth R. Koedinger, Parisa Kordjamshidi, John E. Laird, Christian Lebiere, Stephen C. Levinson, Elena Lieven, John K. Lindstedt, Aaron Mininger, Tom Mitchell, Shiwali Mohan, Ana Paiva, Katerina Pastra, Peter Pirolli, Roussell Rahman, Charles Rich, Katharina J. Rohlfing, Paul S. Rosenbloom, Nele Russwinkel, Dario D. Salvucci, Matthew-Donald D. Sangster, Matthias Scheutz, Julie A. Shah, Candace L. Sidner, Catherine Sibert, Michael Spranger, Luc Steels, Suzanne Stevenson, Terrence C. Stewart, Arthur Still, Andrea Stocco, Niels Taatgen, Andrea L. Thomaz, J. Gregory Trafton, Han L. J. van der Maas, Paul Van Eecke, Kurt VanLehn, Anna-Lisa Vollmer, Janet Wiles, Robert E. Wray III, Matthew Yee-King



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