Skip to main content

Numerical Analysis of the Morphological Intelligence Quantifications

  • Chapter
  • First Online:
Morphological Intelligence
  • 401 Accesses

Abstract

The previous chapter introduced and discussed five different concepts to quantify morphological intelligence. The goal of this chapter is to investigate how the majority of these measures perform for different configurations of the sensorimotor loop. This means that we want to investigate how the measures perform, e.g. if the behaviour of the systems is fully determined by the action A or fully determined by the previous world state W and for all other possible configurations between these two.

The proper method for inquiring after the properties of things is to deduce them from experiments.

Isaac Newton

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Ay N, Jost J, Le HV, Schwachhöfer L (2017) Information geometry. Springer

    Google Scholar 

  2. Ay N (2015) Information geometry on complexity and stochastic interaction. Entropy 17(4):2432–2458

    Article  MathSciNet  Google Scholar 

  3. Ghazi-Zahedi K, Langer C, Ay N (2017b) Morphological computation: synergy of body and brain. Entropy 19(9)

    Article  Google Scholar 

  4. Zahedi K, Ay N (2013) Quantifying morphological computation. Entropy 15(5):1887–1915

    Article  Google Scholar 

  5. Braitenberg V (1984) Vehicles. MIT Press, Cambridge MA

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Keyan Ghazi-Zahedi .

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Ghazi-Zahedi, K. (2019). Numerical Analysis of the Morphological Intelligence Quantifications. In: Morphological Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-20621-5_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-20621-5_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20620-8

  • Online ISBN: 978-3-030-20621-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics