Learning Vector Symbolic Architectures for Reactive Robot Behaviours

Learning Vector Symbolic Architectures for Reactive Robot Behaviours

Vector Symbolic Architectures (VSA) combine a hypervector space and a set of operations on these vectors. Hypervectors provide powerful and noise-robust representations and VSAs are associated with promising theoretical properties for approaching high-level cognitive tasks. However, a major drawback...

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Bibliographic Details
Main Authors: Neubert, Peer, Schubert, Stefan, Protzel, Peter
Other Authors: TU Chemnitz, Fakultät für Elektrotechnik und Informationstechnik
Format: Others
Language:English
Published: Universitätsbibliothek Chemnitz 2017
Subjects:
Hypervektoren
Maschinelles Lernen
Robotik
Vector Symbolic Architectures
Hypervectors
Reactive Robot Behaviours
ddc:005
Online Access:http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-217042
http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-217042
http://www.qucosa.de/fileadmin/data/qucosa/documents/21704/IROS2016_neubert.pdf
http://www.qucosa.de/fileadmin/data/qucosa/documents/21704/signatur.txt.asc

Internet

http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-217042
http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-217042
http://www.qucosa.de/fileadmin/data/qucosa/documents/21704/IROS2016_neubert.pdf
http://www.qucosa.de/fileadmin/data/qucosa/documents/21704/signatur.txt.asc

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