Learning Vector Symbolic Architectures for Reactive Robot Behaviours, International Conference on Intelligent Robots and Systems (IROS) Workshop on Machine Learning Methods for High-Level Cognitive Capabilities in Robotics, 2016

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... Ausführliche Beschreibung

Verfasser / Komponist: Neubert, Peer
beteiligte Personen: Schubert, Stefan  • Protzel, Peter
Medientyp: E-Artikel
veröffentlicht: Universitätsbibliothek Chemnitz, 2017
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