Gluck, Kevin A.
|서명/저자사항||Interactive task learning: humans, robots, and agents acquiring new tasks through natural interactions/ edited by Kevin A. Gluck and John E. Laird.|
|개인저자||Gluck, Kevin A., editor.|
Laird, John, 1954- editor.
|발행사항||Cambridge, MA: The MIT Press, 2019.|
|형태사항||xiii, 337 p.: ill.; 24 cm.|
|총서사항||Strüngmann Forum reports;#26|
|서지주기||Includes bibliographical references and index.|
|내용주기||Framing the problem of interactive task learning / Tom M. Mitchell, Simon Garrod, John E. Laird, Stephen C. Levinson, and Kenneth R. Koedinger -- Functional knowledge requirements for interactive task learning / Robert E. Wray III, Niels A. Taatgen, Christian Lebiere, Katerina Pastra, Peter Pirolli, Paul S. Rosenbloom, Matthias Scheutz, Terrence C. Stewart, and Janet Wiles -- What people learn from instruction? / Christian Lebiere -- An ontological perspective on interactive task learning / Charles Rich -- The representation of task knowledge at multiple levels of abstraction / Niels A. Taatgen -- Interaction for task instruction and learning / Andrea L. Thomaz, Elena Lieven, Maya Cakmak, Joyce Y. Chai, Simon Garrod, Wayne D. Gray, Stephen C. Levinson, Ana Paiva, and Nele Russwinkel -- Natural forms of purposeful interaction among humans : what makes interaction effective? / Stephen C. Levinson -- Teaching robots new tasks through natural interaction / Joyce Y. Chai, Maya Cakmak, and Candace L. Sidner -- The essence of interaction in boundedly complex, dynamic task environments / Wayne D. Gray, John K. Lindstedt, Catherine Sibert, Matthew-Donald D. Sangster, Roussel -- Rahman, Ropafadzo Denga, and Marc Destefano -- Task instruction / Julie A. Shah, Kevin A. Gluck, Tony Belpaeme, Kenneth R. Koedinger, Katharina J. Rohlfing, Han L. J. van der Maas, Paul Van Eecke, Kurt VanLehn, Anna-Lisa Vollmer, and Matthew Yee-King -- What do human tutors do? / Kurt VanLehn -- Strategies for interactive task learning and teaching / Katrien Beuls, Luc Steels, and Paul Van Eecke -- Creativity and feedback : designing systems to support student learning and improve instruction / Arthur Still, Matthew Yee-King, and Mark d'Inverno -- Learning task knowledge / Dario D. Salvucci, John E. Laird, Franklin Chang, Kenneth D. Forbus, Parisa Kordjamshidi, Tom M. Mitchell, Shiwali Mohan, Michael Spranger, Suzanne Stevenson, Andrea Stocco, and J. Gregory Trafton -- Early developing prerequisites for human interactive task learning / Franklin Chang -- Characteristics of the learning problem in situated interactive task learning / John E. Laird, Shiwali Mohan, James Kirk, and Aaron Mininger -- Ethical aspects and challenges for interactive task learning / Matthias Scheutz.|
|요약||"Humans are not limited to a fixed set of innate or preprogrammed tasks. We quickly learn through language and other forms of natural interaction. 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 a fundamental unsolved problem. Advances in AI, cognitive science, and robotics are leading us to future systems with human-like capabilities. A huge chasm exists, however, between the generality, flexibility, and in situ robustness of human instruction and learning versus the highly specialized niche capabilities of current machine learning systems. Drawing from the expertise of multiple disciplines, this volume explores how humans, robots, and software agents can quickly learn completely new tasks through natural interactions with each other"--|
|해제||Provided by publisher.|
Artificial intelligence --Educational applications.
Intelligent tutoring systems.
Robotics --Human factors.
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