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[wyatthawes08bica]
Jeremy Wyatt and Nick Hawes.
Multiple Workspaces as an Architecture for Cognition.
In Biologically Inspired Cognitive Architectures: Papers from the 2008 AAAI Fall Symposium. To appear.
November 2008.
[pdf]
[bib]
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Abstract.
In this paper we describe insights for theories of
natural intelligence that arise from recent advances
in architectures for robot intelligence. In
particular we advocate a sketch theory for the study
of both natural and artificial intelligence that
consists of a set of constraints on
architectures. The sketch includes the use of
multiple shared workspaces, parallel asynchronous
refinement of shared representations, statistical
integration of evidence within and across
modalities, massively parallel prediction and
content addressable memory to allow binding across
workspaces.
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