Skip to main content
SpringerLink
Log in

Intelligence — Dynamics and Representations

  • Conference paper
The Biology and Technology of Intelligent Autonomous Agents

Part of the book series: NATO ASI Series ((NATO ASI F,volume 144))

Abstract

The paper explores a biologically inspired definition of intelligence. Intelligence is related to whether behavior of a system contributes to its self-maintenance. Behavior becomes more intelligent (or copes with more ecological pressures) when it is capable to create and use representations. The notion of representation should not be restricted to formal expressions with a truth-theoretic semantics. The dynamics at various levels of intelligent systems plays an essential role in forming representations. An example is given how behavioral diversity spontaneously emerges in a globally coupled network of agents

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

Access this chapter

Log in via an institution
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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Arkin, R. (1989) Motor schema based mobile robot navigation. Int. Journal of Robotics Research. Vol 8, 4 92–112

    Article  Google Scholar 

  2. Brooks, R. 1991. Intelligence without, reason, IJCAI–91, Sydney, Australia, 569–595

    Google Scholar 

  3. Brooks, R. 1991. Intelligence without representation, Artificial Intelligence, 47, 1991, 139–160

    Article  Google Scholar 

  4. Clancey, W.J. (1993) Situated action: A neuropsychological interpretation. Cognitive Science 17 (1), 87–116

    Article  Google Scholar 

  5. Cohen, J. and I. Stewart (1994) The collapse of chaos. Discovering simplicity in a complex world. Viking Books. London

    Google Scholar 

  6. Dawkins, R. (1976) The Selfish Gene. Oxford University Press. Oxford

    Google Scholar 

  7. Engels, C. and G. Schoener (1994) Dynamic fields endow behavior–based robots with representations. Robotics and Autonomous Systems

    Google Scholar 

  8. Ford, K. and P. Hayes (1994) On babies and bathwater: a cautionary tale. AIMagazine, Vol 15, 4, 14–26

    Google Scholar 

  9. Genesereth, M. and N. Nilsson (1987) Logical foundations of Artificial Intelligence. Morgan Kaufmann, Los Altos

    MATH  Google Scholar 

  10. Haken, H. (1983). Advanced synergetics: instability hierarchies of selforganisating systems and devices, Springer–Verlag, Berlin

    Google Scholar 

  11. Jaeger, H. (1994) Dynamic symbol systems, Ph.D. thesis. Faculty of Technology. Bielefeld

    Google Scholar 

  12. Kaneko, K. (1994) Relevance of dynamic clustering to biological networks. Physica D 75, 55–73 89

    Google Scholar 

  13. Kiss, G. (1993) Autonomous agents, AI and chaos theory. In: Meyer, J.A., et al. (eds.) From Animals to Animats 2 Proceedings of the Second Int. Conference on Simulation of Adaptive Behavior. MIT Press, Cambridge, MA, 518–524

    Google Scholar 

  14. Maturana, H.R. and F.J. Varela (1987) The tree of knowledge: The biological roots of human understanding. Shamhala Press, Boston

    Google Scholar 

  15. McFarland, D. (1990) Animal behaviour. Oxford University Press, Oxford.

    Google Scholar 

  16. McFarland, D. and T. Boesser (1994) Intelligent behavior in animals and robots. MIT Press/Bradford Books, Cambridge, MA

    Google Scholar 

  17. McFarland, D. (1994) Towards Robot Cooperation. Proceedings of the Simulation of Adaptive Behavior Conference. Brighton. MIT Press.

    Google Scholar 

  18. McFarland, D., E. Spier, and P. Stuer (1995) Environmental constraints on the behavioural stability of autonomous robots, Adaptive behavior, to be submitted

    Google Scholar 

  19. Newell,A. (1981). The knowledge level, Journal of Artificial Intelligence, 18 (1), 87–127

    Article  Google Scholar 

  20. Nicolis, G. and I. Prigogine (1985) Exploring Complexity. Piper, München

    Google Scholar 

  21. Penrose, R. (1990) The Emperor’s new mind. Oxford University Press. Oxford

    Google Scholar 

  22. Pfeifer, R. and P. Verschure (1992) Distributed adaptive control: A paradigm for designing autonomous agents. In: Varela, F.J. and P. Bourgine (eds.) (1992) Toward a practice of autonomous systems. Proceedings of the First European Conference on Artificial Life. MIT Press/Bradford Books, Cambridge MA 21–30

    Google Scholar 

  23. Schöner, G. and M. Dose (1993) A dynamical systems approach to task–level system integration used to plan and control autonomous vehicle motion, Journal of Robotics and Autonomous Systems, vol 10, 253–267

    Article  Google Scholar 

  24. Simon, H. (1969) The Sciences of the artificial. MIT Press, Cambridge MA

    Google Scholar 

  25. Smithers, T. (1994) Are autonomous agents information processing systems? In: Steels, L. and R. Brooks (eds.), The ‘artificial life’ route to ‘artifical intelligence’: building situated embodied agents, Lawrence Erlbaum Associates, New Haven

    Google Scholar 

  26. Smolensky, P. (1986) Information processing in dynamical systems. Foundations of Harmony Theory. In: Rumelhart, D.E., J.L. McClelland (eds.), Parallel distributed processing. Explorations in the microstructure of cognition. Vol 1. MIT Press, Cambridge, MA. 194–281

    Google Scholar 

  27. Steels, L. (1994a) The artificial life roots of artificial intelligence. Artificial Life Journal, Vol 1,1. MIT Press, Cambridge, MA

    Google Scholar 

  28. Steels, L. (1994b) A case study in the behavior–oriented design of autonomous agents. Proceedings of the Simulation of Adaptive Behavior Conference. Brighton. MIT Press. Cambridge, MA

    Google Scholar 

  29. Traiitteur, G. (ed.) (1994) Approaches to consciousness. Kluwer Academic Publishing. Amsterdam

    Google Scholar 

  30. Winston, P. (1992) Artificial Intelligence. Addison–Wesley, Reading MA

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Artificial Intelligence Laboratory, Vrije Universiteit Brussel, Pleinlaan 2, B-1050, Brussels, Belgium

    Luc Steels

Authors
  1. Luc Steels
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Artificial Intelligence Laboratory, Department of Computer Science, University of Brussels (Vrije Universiteit Brussel), Pleinlaan 2, B-1050, Brussels, Belgium

    Luc Steels

Rights and permissions

Reprints and permissions

Copyright information

© 1995 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Steels, L. (1995). Intelligence — Dynamics and Representations. In: Steels, L. (eds) The Biology and Technology of Intelligent Autonomous Agents. NATO ASI Series, vol 144. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79629-6_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-79629-6_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-79631-9

  • Online ISBN: 978-3-642-79629-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation