Abstract
While it’s widely accepted that human beings carry out both symbolic and subsymbolic processing, as integral parts of their general intelligence, the precise definition of “symbolic” versus “subsymbolic” is a subtle issue, which different AI researchers will approach in different ways depending on their differing overall perspectives on AI.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
available for download at http://www.nec-labs.com/~ychi/publication/software.html.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2014 Atlantis Press and the authors
About this chapter
Cite this chapter
Goertzel, B., Pennachin, C., Geisweiller, N. (2014). Bridging the Symbolic/Subsymbolic Gap. In: Engineering General Intelligence, Part 2. Atlantis Thinking Machines, vol 6. Atlantis Press, Paris. https://doi.org/10.2991/978-94-6239-030-0_11
Download citation
DOI: https://doi.org/10.2991/978-94-6239-030-0_11
Published:
Publisher Name: Atlantis Press, Paris
Print ISBN: 978-94-6239-029-4
Online ISBN: 978-94-6239-030-0
eBook Packages: Computer ScienceComputer Science (R0)