Nothing Special   »   [go: up one dir, main page]

Skip to main content

Some Experiments on the Influence of Problem Hardness in Morphological Development Based Learning of Neural Controllers

  • Conference paper
  • First Online:
Hybrid Artificial Intelligent Systems (HAIS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12344))

Included in the following conference series:

Abstract

Natural beings undergo a morphological development process of their bodies while they are learning and adapting to the environments they face from infancy to adulthood. In fact, this is the period where the most important learning processes, those that will support learning as adults, will take place. However, in artificial systems, this interaction between morphological development and learning, and its possible advantages, have seldom been considered. In this line, this paper seeks to provide some insights into how morphological development can be harnessed in order to facilitate learning in embodied systems facing tasks or domains that are hard to learn. In particular, here we will concentrate on whether morphological development can really provide any advantage when learning complex tasks and whether its relevance towards learning increases as tasks become harder. To this end, we present the results of some initial experiments on the application of morphological development to learning to walk in three cases, that of a quadruped, a hexapod and that of an octopod. These results seem to confirm that as task learning difficulty increases the application of morphological development to learning becomes more advantageous.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /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 shipping 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. Pfeifer, R., Bongard, J.: How the body shapes the way we think: a new view of intelligence. MIT press (2006)

    Google Scholar 

  2. Pfeifer, R.: Dynamics, morphology, and materials in the emergence of cognition. In: Burgard, W., Cremers, Armin B., Cristaller, T. (eds.) KI 1999. LNCS (LNAI), vol. 1701, pp. 27–44. Springer, Heidelberg (1999). https://doi.org/10.1007/3-540-48238-5_3

    Chapter  Google Scholar 

  3. Chrisley, R.: Embodied artificial intelligence. Artif. Intell. 149(1), 131–150 (2003)

    Article  Google Scholar 

  4. Pfeifer, R., Iida, F.: Embodied artificial intelligence: trends and challenges. In: Iida, F., Pfeifer, R., Steels, L., Kuniyoshi, Y. (eds.) Embodied Artificial Intelligence. LNCS (LNAI), vol. 3139, pp. 1–26. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-540-27833-7_1

    Chapter  Google Scholar 

  5. Hoffmann, M., Pfeifer, R.: Robots as powerful allies for the study of embodied cognition from the bottom up, 1–22 (2018)

    Google Scholar 

  6. Doncieux, S., et al.: Open-ended learning: a conceptual framework based on representational redescription. Front. Neurorobot. 12, 59 (2018)

    Article  Google Scholar 

  7. Asada, M., et al.: Cognitive developmental robotics: a survey. IEEE Trans. Auton. Ment. Dev. 1(1), 12–34 (2009)

    Article  MathSciNet  Google Scholar 

  8. Cangelosi, A., Schlesinger, M.: Developmental robotics: from babies to robots. MIT Press (2015)

    Google Scholar 

  9. Zlatev, J., Balkenius, C.: Introduction: why epigenetic robotics?. In: 1st International Workshop on Epigenetic Robotics (2001)

    Google Scholar 

  10. Weng, J., et al.: Autonomous mental development by robots and animals. Science 291(5504), 599–600 (2001)

    Article  Google Scholar 

  11. Pfeifer, R., Iida, F.: Morphological computation: connecting body, brain and environment. Japanese Sci. Mon. 58, 48–54 (2005)

    Google Scholar 

  12. Matarić, M., Cliff, D.: Challenges in evolving controllers for physical robots. Rob. Auton. Syst. 19(1), 67–83 (1996)

    Article  Google Scholar 

  13. Lipson, H., Pollack, J.B.: Automatic design and manufacture of robotic lifeforms. Nature 406(6799), 974–978 (2000)

    Article  Google Scholar 

  14. Cheney, N., Bongard, J., Lipson, H.: Evolving soft robots in tight spaces. In: Proceedings of the 2015 annual conference on Genetic and Evolutionary Computation, pp. 935–942 (2015)

    Google Scholar 

  15. Trianni, V.: Evolutionary robotics: model or design? Front. Robot. AI 1, 13 (2014)

    Article  Google Scholar 

  16. Clark, J.E., Whitall, J.: What is motor development? The lessons of history. Quest 41(3), 183–202 (1989)

    Article  Google Scholar 

  17. Fischer, K.W.: A theory of cognitive development: the control and construction of hierarchies of skills. Psychol. Rev. 87(6), 477 (1980)

    Article  Google Scholar 

  18. Roche, A.F.: Growth, Maturation, and Body Composition: The Fels Longitudinal Study, pp. 1929–1991. Cambridge University Press, Cambridge (1992)

    Book  Google Scholar 

  19. Bongard, J.: Why morphology matters. Horizons Evol. Robot. 6, 125–152 (2014)

    Google Scholar 

  20. Vujovic, V., Rosendo, A., Brodbeck, L., Iida, F.: Evolutionary developmental robotics: improving morphology and control of physical robots. Artif. Life 23(2), 169–185 (2017)

    Article  Google Scholar 

  21. Lungarella, M., Berthouze, L.: On the interplay between morphological, neural, and environmental dynamics: a robotic case study. Adapt. Behav. 10(3), 223–241 (2002)

    Article  Google Scholar 

  22. Berthouze, L., Lungarella, M.: Motor skill acquisition under environmental perturbations: on the necessity of alternate freezing and freeing of degrees of freedom. Adapt. Behav. 12(1), 47–64 (2004)

    Article  Google Scholar 

  23. Lungarella, M., Berthouze, L.: Adaptivity via alternate freeing and freezing of degrees of freedom. In: ICONIP 2002-Proceeding of 9th International Conference Neural Information Processing Computer Intelligence E-Age, vol. 1, pp. 482–487 (2002)

    Google Scholar 

  24. Bongard, J.: Morphological change in machines accelerates the evolution of robust behavior. Proc. Natl. Acad. Sci. 108(4), 1234–1239 (2011)

    Article  Google Scholar 

  25. Stanley, K.O., Miikkulainen, R.: Evolving neural networks through augmenting topologies. Evol. Comput. 10(2), 99–127 (2002)

    Article  Google Scholar 

  26. Chervenski, P., Ryan, S.: MultiNEAT, project website (2012). URL www.multineat.com/

  27. Robotics, C.: VREP Simulator. http://www.coppeliarobotics.com/

  28. Smith, R.L.: Open Dynamics Engine. https://www.ode.org/

  29. CESGA. Centro de Supecomputacion de Galicia. http://www.cesga.es/. Accessed 14 Jan 2020

Download references

Acknowledgment

This work has been partially funded by the Ministerio de Ciencia, Innovación y Universidades of Spain/FEDER (grant RTI2018-101114-B-I00), Xunta de Galicia and FEDER (grant ED431C 2017/12) and M. Naya-Varela is very grateful for the support of the UDC-Inditex 2019 grant for international mobility. We also want to thank CESGA (Centro de Supercomputación de Galicia. https://www.cesga.es/) for the possibility of using its resources.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to M. Naya-Varela , A. Faina or R. J. Duro .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Naya-Varela, M., Faina, A., Duro, R.J. (2020). Some Experiments on the Influence of Problem Hardness in Morphological Development Based Learning of Neural Controllers. In: de la Cal, E.A., Villar Flecha, J.R., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2020. Lecture Notes in Computer Science(), vol 12344. Springer, Cham. https://doi.org/10.1007/978-3-030-61705-9_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-61705-9_30

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61704-2

  • Online ISBN: 978-3-030-61705-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics