The representation of task knowledge at multiple levels of abstraction

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

Original language	English
Title of host publication	Interactive task learning
Subtitle of host publication	Humans, Robots, and Agents Acquiring New Tasks through Natural Interactions
Editors	Kevin Gluck, John Laird
Place of Publication	Cambtidge
Publisher	The MIT Press
Chapter	6
Pages	75-87
Number of pages	13
ISBN (Print)	978-0-262-03882-9
Publication status	Published - 2019

Access to Document

@inbook{2f02be5eb5fa4c77ba0ada039e334968,

title = "The representation of task knowledge at multiple levels of abstraction",

author = "Niels Taatgen",

year = "2019",

language = "English",

isbn = "978-0-262-03882-9",

series = "Str{\"u}ngmann Forum Reports",

publisher = "The MIT Press",

pages = "75--87",

editor = "Kevin Gluck and John Laird",

booktitle = "Interactive task learning",

}

The representation of task knowledge at multiple levels of abstraction. / Taatgen, Niels.
Interactive task learning: Humans, Robots, and Agents Acquiring New Tasks through Natural Interactions . ed. / Kevin Gluck; John Laird. Cambtidge: The MIT Press, 2019. p. 75-87 (Strüngmann Forum Reports; Vol. 26).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review