DocumentCode
2734528
Title
Learning from Observing: Vision and POIROT - Using Metareasoning for Self Adaptation
Author
Burstein, Mark ; Bobrow, Robert ; Ferguson, William ; Laddaga, Robert ; Robertson, Paul
Author_Institution
BBN Technol., Cambridge, MA, USA
fYear
2010
fDate
27-28 Sept. 2010
Firstpage
300
Lastpage
307
Abstract
We present a cognitive architecture that heavily utilizes metareasoning for self adaptation. The architecture is derived in part from neuroscience data and theories about the operation of the human vision system. We also discuss how this architecture is applied in the POIROT system, which learns web services workflow from “observing” a small number of expert examples.
Keywords
Web services; inference mechanisms; learning by example; workflow management software; POIROT; POIROT system; Web services workflow; cognitive architecture; human vision system; learning from observing; metareasoning; neuroscience data; plan order induction by reasoning from one trial; self adaptation; Cognition; Computer architecture; Feature extraction; Humans; Planning; Semantics; Web services; active vision; cogntive architecture; learning; metreasoning; neuroscience; self adaptive; vision;
fLanguage
English
Publisher
ieee
Conference_Titel
Self-Adaptive and Self-Organizing Systems Workshop (SASOW), 2010 Fourth IEEE International Conference on
Conference_Location
Budapest
Print_ISBN
978-1-4244-8684-7
Type
conf
DOI
10.1109/SASOW.2010.61
Filename
5729639
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