Chapter

Symbols and embodiment from the perspective of a neural modeller

Andreas Knoblauch

in Symbols and Embodiment

Published in print October 2008 | ISBN: 9780199217274
Published online March 2012 | e-ISBN: 9780191696060 | DOI: http://dx.doi.org/10.1093/acprof:oso/9780199217274.003.0007
Symbols and embodiment from the perspective of a neural modeller

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This chapter contributes to the current debate about symbols and embodiment by pointing out the perspective of a neural modeller. It demonstrates that the default definitions of ‘symbol’, ‘embodiment’, ‘meaning’, and ‘grounding’ in the context of detailed neural network models, i.e. on a level more detailed than common connectionist approaches. This chapter's arguments are based on Hebbian neuronal or cell assemblies and detailed models of the cortical microcircuitry. It notes that these models have been employed to implement a large-scale cortical architecture to enable a robot to perform simple tasks such as understanding and reacting to simple spoken commands. It discusses the relations between embodiment, grounding, anchoring, binding, and the invariant recognition in distributed hierarchical systems.

Keywords: symbols; neural modeller; embodiment; meaning; grounding; Hebbian cell assemblies; recognition; anchoring; binding; robot

Chapter.  13335 words.  Illustrated.

Subjects: Cognitive Psychology

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