Skip to main content

The Role of Specialized Intelligent Body-System Networks in Guiding General-Purpose Cognition

  • Conference paper
Book cover Artificial General Intelligence (AGI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7999))

Included in the following conference series:

  • 1064 Accesses

Abstract

Human cognition is portrayed as involving a highly flexible, self-organizing “cognitive network”, closely coupled with a number of more specific intelligent “body-system networks” – e.g. those associated with the perceptual and motor systems, the heart, the digestive system, the liver, and the immune and endocrine systems, all of which have been shown to have their own adaptive intelligence. These specialized intelligent networks provide the general-purpose cognitive network with critical structural and dynamical inductive biasing. It is argued that early-stage AGI systems must involve roughly comparable inductive biasing, though not necessarily achieved in the same way.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 49.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Goertzel, B.: Patterns, hypergraphs and general intelligence. Proceedings of IJCNN 2006 (2009)

    Google Scholar 

  2. Kurzweil, R.: How to Create a Mind. Viking (2012)

    Google Scholar 

  3. Hawkins, J., Blakeslee, S.: On Intelligence. Brown Walker (2006)

    Google Scholar 

  4. Freeman, W.: Societies of Brains. Erlbaum (1995)

    Google Scholar 

  5. Rowe, T.: Fossil evidence on origin of the mammalian brain. Science 20 (2011)

    Google Scholar 

  6. Peter Strick, R.D., Fiez, J.: Cerebellum and nonmotor function. Annual Review of Neuroscience 32, 413–434 (2009)

    Article  Google Scholar 

  7. Gershon, M.: The Second Brain. Harper (1999)

    Google Scholar 

  8. Armour, J.A.: Cardiac neuronal hierarchy in health and disease. Am. J. Physiol. Regul. Integr. Comp. Physiol. 287 (2004)

    Google Scholar 

  9. Conolly, R., Blancato, J.: Computational modeling of the liver. NCCT BOSC Review (2006), http://www.epa.gov/ncct/bosc_review/2006/files/07_Conolly_Liver_Model.pdf

  10. Effective-Mind-Control.com: Cellular memory in organ transplants. Effective Mind Control, (2012) http://www.effective-mind-control.com/cellular-memory-in-organ-transplants.html , (updated February 1, 2012)

  11. Farmer, D., Perelson, A.: The immune system, adaptation and machine learning. Physica D, v. 2 (1986)

    Google Scholar 

  12. Pang, Z., Han, W.: Regulation of synaptic functions in central nervous system by endocrine hormones and the maintenance of energy homeostasis. Bioscience Reports (2012)

    Google Scholar 

  13. Shannahoff-Khalsa, D., Boyle, M., Buebel, M.: The effects of unilateral forced nostril breathing on cognition. Int. J. Neurosci. (1991)

    Google Scholar 

  14. Goertzel, B., et al.: The cogprime architecture for embodied artificial general intelligence. In: Proceedings of IEEE Symposium on Human-Level AI, Singapore (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Goertzel, B. (2013). The Role of Specialized Intelligent Body-System Networks in Guiding General-Purpose Cognition. In: Kühnberger, KU., Rudolph, S., Wang, P. (eds) Artificial General Intelligence. AGI 2013. Lecture Notes in Computer Science(), vol 7999. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39521-5_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-39521-5_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39520-8

  • Online ISBN: 978-3-642-39521-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics