Skip to main content

Dynamics, Morphology, and Materials in the Emergence of Cognition

  • Conference paper
  • First Online:
KI-99: Advances in Artificial Intelligence (KI 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1701))

Included in the following conference series:

Abstract

Early approaches to understanding intelligence have assumed that intelligence can be studied at the level of algorithms which is why for many years the major tool of artificial intelligence (AI) researchers has been the computer (this has become known as classical AI). As researchers started to build robots they realized that the hardest issues in the study of intelligence involve perception and action in the real world. An entire new research field called “embodied intelligence” (or “New AI”, “embodied cognitive science”) emerged and “embodimen t” became the new buzzword. In the meantime there has been a lot of research employing robots for the study of intelligence. However, embodiment has not been taken really seriously. Hardly any studies deal with morphology (i.e. shape), material properties, and their relation to sensory-motor processing. The goal of this paper is to investigate — or rather to raise — some of the issues involved and discuss the far-reaching implications of embodiment which leads to a new perspective on intelligence. This new perspective requires considerations of “ecological balance” and sensory-motor coordination, rather than algorithms and computation exclusively. Using a series of case studies, it will be illustrated how these considerations can lead to a new understanding of intelligence.

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 54.99
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. Brooks, R. A. (1991). Intelligence without reason. Proc. IJCAI-91, 569–595.

    Google Scholar 

  2. Brooks, R. A., Breazeal, C., Marjanovic, M., Scassellati, B., Willimason, M. M. (1999). The Cog project: Building a humanoid robot. http://www.ai.mit.edu/projects/cog.

  3. Chou, C. P., and Hannaford, B. (1997). Study of human forearm posture maintenance with a physiologically based robotic arm and apinal level neural controller. Biological Cybernetics, 76, 285–298.

    Article  MATH  Google Scholar 

  4. Clark, A. (1997). Being there. Putting brain, body, and world together again. Cambridge, Mass.: MIT Press.

    Google Scholar 

  5. Dewey, J. (1896). The reflex arc in psychology. Psychol. Review, 3, 1981, 357–370. Reprinted in J. J. McDermott (eds.): The Philosophy of John Dewey. Chicago, IL: The University of Chicago Press, 136-148.

    Google Scholar 

  6. Edelman, G. E. (1987). Neural Darwinism. The theory of neuronal group selection. New York: Basic Books.

    Google Scholar 

  7. Elman, J. L, Bates, E. A., Johnson, H. A., Karmiloff-Smith, A., Parisi, D., Plunkett, K. (1996). Rethinking innateness. A connectionist perspective on development. Cambridge, Mass.: A Bradford Book, MIT Press, 421–430.

    Google Scholar 

  8. Ferrari, F., Nielsen, P. Q. J., and Sandini, G. (1995). Space variant imagin. Sensor Review, 15, 17–20.

    Article  Google Scholar 

  9. Franceschini, N., Pichon, J. M., and Blanes, C. (1992). From insect vision to robot vision. Phil. Trans. R. Soc. Lond. B, 337, 283–294.

    Article  Google Scholar 

  10. Glenberg, A. M. (1997). What memory is for? Behavioral and Brain Sciences. 20, 1–56.

    Article  Google Scholar 

  11. Johnson, M. (1987). The body in the mind: The bodily basis of meaning, imagination, and reason. Chicago: Chicago University Press.

    Google Scholar 

  12. Kawai, N., and Hara, F. (1998). Formation of morphology and morpho-function in a linear-cluster robotic system. In R. Pfeifer, B. Blumberg, J.-A. Meyer, and S. W. Wilson (eds.). From Animals to Animats. Proc. of the 5th Int. Conference on the Simulation of Adaptive Behavior, SAB’98, 459–464.

    Google Scholar 

  13. Kobayashi, H., and Hara, F. (1995). A basic study on dynamic control of facial expressions for face robot. Proc. IEEE Int. Workshop on Robot and Human Communication, 275–280.

    Google Scholar 

  14. Kornbluh, R., Pelrine, R., Eckerle, J., Joseph, J. (1998). Electrostrictive polymer artificial muscle actuators. In Proceedings of the 1998 IEEE International Conference on Robotics and Automation. IEEE, New York, NY, USA, 2147–2154.

    Google Scholar 

  15. Kruschke, J. K. (1992). ALCOVE: An exemplar-based connectionist model of category learning. Psychological Review, 99, 22–44.

    Article  Google Scholar 

  16. Kuniyoshi, Y., and Nagakubo, A. (1997). Humanoid as a research vehicle into flexible complex interaction. In Proc. IEEE/RSJ Int. Conf. Intelligent Robots and Systems (IROS). Grenoble, France, 811–819.

    Google Scholar 

  17. Lee, Y. K., and Shimoyama, I. (1999). A skeletal framework artificial hand actuated by pneumatic artificial muscles, IEEE International Conference on Robotics and Automation, 926–931.

    Google Scholar 

  18. Lichtensteiger, L., and Eggenberger, P. (1999). Evolving the morphology of a compound eye on a robot. To appear in Proc. of Eurobot’99.

    Google Scholar 

  19. Maris, M., and te Boekhorst, R. (1996). Exploiting physical constraints: heap formation through behavioral error in a group of robots. In Proc. IROS’96, IEEE/RSJ International Conference on Intelligent Robots and Systems, 16551660.

    Google Scholar 

  20. McGeer, T. (1990a). Passive dynamic walking. Int. Journal of Robotics Research, 9, 62–82.

    Article  Google Scholar 

  21. McGeer, T. (1990b). Passive walking with knees. Proc. of the IEEE Conference on Robotics and Automation, 2, 1640–1645.

    Article  Google Scholar 

  22. Pfeifer, R. (1996). Building “Fungus Eaters”: Design principles of autonomous agents. In P. Maes, M. Mataric, J.-A. Meyer, J. Pollack, and S. W. Wilson (eds.): From Animals to Animats. Proc. of the 4th Int. Conf. on Simulation of Adaptive Behavior. Cambridge, Mass.: A Bradford Book, MIT Press, 3–12.

    Google Scholar 

  23. Pfeifer, R., and Scheier, C. (1997). Sensory-motor coordination: The metaphor andbeyond. Practice and future of autonomous agents [Special issue, R. Pfeifer and R. Brooks (Eds.)]. Robotics and Autonomous Systems, 20, 157–178.

    Google Scholar 

  24. Pfeifer, R., and Scheier, C. (1998). Representation in natural and artificial agents: an embodied cognitive science perspective. Zeitschrift für Naturforschung, 53c, 480–503.

    Google Scholar 

  25. Pfeifer, R., and Scheier, C. (1999). Understanding intelligence. Cambridge, Mass.: MIT Press.

    Google Scholar 

  26. Pratt, G. A., Williamson, M. M. (1995). Series Elastic Actuators. Proc. Of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Pittsburgh, PA. 1, 399–406.

    Google Scholar 

  27. Rechenberg, I. (1973). Evolutionsstrategie: Optimierung Technischer Systeme nach Prinzipien der Beiologischen Evolution. Stuttgart: Frommann-Holzboog.

    Google Scholar 

  28. Scheier, C., Pfeifer, R., and Kuniyoshi, Y. (1998). Embedded neural networks: exploiting constraints. Neural Networks, 11, 1551–1569.

    Article  Google Scholar 

  29. Thelen, E., and Smith, L. (1994). A dynamic systems approach to the development of cognition and action. Cambridge, Mass.: MIT Press, Bradford Books.

    Google Scholar 

  30. Toepfer, C., Wende, M., Baratoff, G., and Neumann, H. (1998). Robot navigation by combining central and peripheral optical flow detection on a space-variant map. Proc. Fourteenth Int. Conf. on Pattern Recognition. Los Alamitos, CA: IEEE Computer Society, 1804–1807.

    Chapter  Google Scholar 

  31. Varela, F. J., Thompson, E., and Rosch, E. (1991). The embodied mind: Cognitive science and human experience. Cambridge, MA: MIT Press.

    Google Scholar 

  32. Wexler, M. (1997). Is rotation of visual mental images a motor act? In K. Donner (Ed.). Proceedings of the 20th European Conference on Visual Perception ECUP’97. London, UK: Pion Ltd.

    Google Scholar 

  33. Yamaguchi, J., Soga, E., Inoue, S., and Takanishi, A. (1999). Development of a bipedal humanoid robot: Control method of whole body cooperative dynamic biped walking. Proc. of the 1999 IEEE Int. Conference on Robotics and Automation, 368–374.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Pfeifer, R. (1999). Dynamics, Morphology, and Materials in the Emergence of Cognition. In: Burgard, W., Cremers, A.B., Cristaller, T. (eds) KI-99: Advances in Artificial Intelligence. KI 1999. Lecture Notes in Computer Science(), vol 1701. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48238-5_3

Download citation

  • DOI: https://doi.org/10.1007/3-540-48238-5_3

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66495-6

  • Online ISBN: 978-3-540-48238-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics