Were “Super-Turing” Diagrammatic Reasoning Mechanisms Ancient Products of Biological Evolution?

  • Conference paper
  • First Online:
Diagrammatic Representation and Inference (Diagrams 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10871))

Included in the following conference series:

  • 3225 Accesses

Abstract

Immanuel Kant had understood some deep facts about mathematical knowledge that have mostly been ignored by recent researchers on cognition, especially intrinsic connections between many everyday actions and mathematical competences, e.g. competences concerned with the fact that organisms inhabit environments with complex mathematical structures, some produced by activities of life forms, others not. I’ll present a variety of examples, to be discussed with the audience, with deep implications for future research in artificial and natural cognition, and raise questions about the diagram-like information structures many cognitive processes seem to be concerned with: “diagrams in the mind”. I suspect that Alan Turing’s 1952 paper on chemical morphogenesis, published two years before he died is connected with this. Perhaps if he had lived several more decades he would have worked on what I call the Meta-Morphogenesis project, which was inspired by Turing and has deep connections with mathematical structures important for animal cognition and future machine cognition. However it is an open question that current forms of (digital) computation will need to be enhanced using chemistry-based computation similar to sub-neural mechanisms in brains, or whether the required forms of reasoning can occur in virtual machines implemented in digital machinery. Von Neumann’s last little book, written as he was dying in 1958, raises similar questions.

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. McCarthy, J., Hayes, P.: Some philosophical problems from the standpoint of AI. In: Meltzer, B., Michie, D. (eds.) Machine Intelligence 4, pp. 463–502. Edinburgh University Press, Edinburgh (1969). http://www-formal.stanford.edu/jmc/mcchay69/mcchay69.html

    MATH  Google Scholar 

  2. Sloman, A.: Interactions between philosophy and AI: the role of intuition and non-logical reasoning in intelligence. In: Proceedings of 2nd IJCAI, pp. 209–226. William Kaufmann, London (1971). Reprinted in Artificial Intelligence, vol. 2, no. 3–4, pp. 209–225 (1971)

    Google Scholar 

  3. Schmidhuber, J.: New millennium AI and the convergence of history: update of 2012. In: Eden, A.H., Moor, J.H., Soraker, J.H., Steinhart, E. (eds.) Singularity Hypotheses. The Frontiers Collection, pp. 61–82. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-32560-1_4

    Chapter  Google Scholar 

  4. Chappell, J., Sloman, A.: Natural and artificial meta-configured altricial information-processing systems. Int. J. Unconv. Comput. 3(3), 211–239 (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Aaron Sloman .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sloman, A. (2018). Were “Super-Turing” Diagrammatic Reasoning Mechanisms Ancient Products of Biological Evolution?. In: Chapman, P., Stapleton, G., Moktefi, A., Perez-Kriz, S., Bellucci, F. (eds) Diagrammatic Representation and Inference. Diagrams 2018. Lecture Notes in Computer Science(), vol 10871. Springer, Cham. https://doi.org/10.1007/978-3-319-91376-6_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-91376-6_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91375-9

  • Online ISBN: 978-3-319-91376-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Navigation