Skip to main content
×
Home
    • Aa
    • Aa

Will the neural blackboard architecture scale up to semantics?

  • Michael G. Dyer (a1)
Abstract

The neural blackboard architecture is a localist structured connectionist model that employs a novel connection matrix to implement dynamic bindings without requiring propagation of temporal synchrony. Here I note the apparent need for many distinct matrices and the effect this might have for scale-up to semantic processing. I also comment on the authors' initial foray into the symbol grounding problem.

Copyright
Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Behavioral and Brain Sciences
  • ISSN: 0140-525X
  • EISSN: 1469-1825
  • URL: /core/journals/behavioral-and-brain-sciences
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×
Type Description Title
PDF

 PDF

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 1 *
Loading metrics...

Abstract views

Total abstract views: 43 *
Loading metrics...

* Views captured on Cambridge Core between September 2016 - 30th March 2017. This data will be updated every 24 hours.