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2019 | OriginalPaper | Chapter

What We Need from an Embodied Cognitive Architecture

Author : Serge Thill

Published in: Cognitive Architectures

Publisher: Springer International Publishing

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Abstract

Given that original purpose of cognitive architectures was to lead to a unified theory of cognition, this chapter considers the possible contributions that cognitive architectures can make to embodied theories of cognition in particular. This is not a trivial question since the field remains very much divided about what embodied cognition actually means, and we will see some example positions in this chapter. It is then argued that a useful embodied cognitive architecture would be one that can demonstrate (a) what precisely the role of the body in cognition actually is, and (b) whether a body is constitutively needed at all for some (or all) cognitive processes. It is proposed that such questions can be investigated if the cognitive architecture is designed so that consequences of varying the precise embodiment on higher cognitive mechanisms can be explored. This is in contrast with, for example, those cognitive architectures in robotics that are designed for specific bodies first; or architectures in cognitive science that implement embodiment as an add-on to an existing framework (because then, that framework is by definition not constitutively shaped by the embodiment). The chapter concludes that the so-called semantic pointer architecture by Eliasmith and colleagues may be one framework that satisfies our desiderata and may be well-suited for studying theories of embodied cognition further.

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Footnotes
1
This is arguably the most relevant aim. If the aim is simply to create a robot controller, then there is no particular need to appeal to theories of human cognition, and therefore also no ambiguities due to a lack of an agreed-upon meaning of the terms used.
 
2
The different flavours of embodied cognition have been extensively reviewed by multiple researchers over the past two decades. It is not the purpose here to produce another such review.
 
3
One interesting effect resulting from the use of biologically plausible (and therefore constrained) neurons to implement models is that the actual behaviour of the model may differ from the symbolic description, for example, if the latter stipulates computations that cannot be accurately implemented by the neurons. In fact, without this, the case for going through the trouble of creating the neural implementation would be much less compelling.
 
4
This separates NEF/SPA from most other attempts to create architectures that operate both at symbolic and subsymbolic levels: traditionally, these often start with an arbitrary symbolic framework that is then converted into a neural representation (which is always possible, given that neural networks are universal function approximators, so there is nothing intrinsically insightful in this step alone). Such “arbitrary” marriages have never been particularly compelling [1]. In NEF/SPA, the symbolic language in which a cognitive model is expressed is defined and constrained by an understanding of the underlying neural substrate.
 
5
One aspect of this compression mechanism and the binding of vectors that we do not go into detail about here is that it is reversible: the compressed encoding is easily manipulable in computations, but should there be a need to recall details about the underlying sensorimotor experience, this can be done through unbinding and decompression in order to re-obtain details of the original experience.
 
6
This would be unbinding, which, in SPA, is done through convolving with the inverse of that to which a vector is currently bound.
 
7
It is also worth remembering, as many have pointed out (e.g. [4]), that this position has a long history in theory of mind, and is not a merely a reaction to computationalist approaches that have been arising in cognitive science more recently.
 
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Metadata
Title
What We Need from an Embodied Cognitive Architecture
Author
Serge Thill
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-319-97550-4_4