linking neural and symbolic representation and processing of conceptual structures

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ID: 200342
2017
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Abstract
We compare and discuss representations in two cognitive architectures aimed at representing and processing complex conceptual (sentence-like) structures. First is the Neural Blackboard Architecture (NBA), which aims to account for representation and processing of complex and combinatorial conceptual structures in the brain. Second is IDyOT (Information Dynamics of Thinking), which derives sentence-like structures by learning statistical sequential regularities over a suitable corpus. Although IDyOT is designed at a level more abstract than the neural, so it is a model of cognitive function, rather than neural processing, there are strong similarities between the composite structures developed in IDyOT and the NBA. We hypothesize that these similarities form the basis of a combined architecture in which the individual strengths of each architecture are integrated. We outline and discuss the characteristics of this combined architecture, emphasizing the representation and processing of conceptual structures.
Reference Key
velde2017frontierslinking Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Frank van der Velde;Frank van der Velde;Jamie Forth;Deniece S. Nazareth;Geraint A. Wiggins
Journal accounts of chemical research
Year 2017
DOI
10.3389/fpsyg.2017.01297
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