Linking neural and symbolic representation and processing of conceptual structures

van der Velde, Frank; Forth, Jamie; Nazareth, Deniece S. and Wiggins, Geraint A.. 2017. Linking neural and symbolic representation and processing of conceptual structures. Frontiers in Psychology, 8, 1297. ISSN 1664-1078 [Article]

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Abstract or Description

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.

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Funding acknowledgment:
This work funded by the ConCreTe (Concept Creation Technology) project, which acknowledges the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission, under FET grant number 611733.


Cognitive architecture, Compositional learning, Hebbian learning, In situ representations, Incremental learning, Memory representation

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17 July 2017Accepted
10 August 2017Published

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Date Deposited:

21 Nov 2017 15:20

Last Modified:

03 Aug 2021 15:04

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Yes, this version has been peer-reviewed.


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