Article thumbnail

Behaviour-based Knowledge Systems: An Epigenetic Path from Behaviour to Knowledge

By Carlos Gershenson


In this paper we expose the theoretical background underlying our current research. This consists in the development of behaviour-based knowledge systems, for closing the gaps between behaviour-based and knowledge-based systems, and also between the understandings of the phenomena they model. We expose the requirements and stages for developing behaviour-based knowledge systems and discuss their limits. We believe that these are necessary conditions for the development of higher order cognitive capacities, in artificial and natural cognitive systems

Topics: Applied Cognitive Psychology, Artificial Intelligence
Publisher: Lund University Cognitive Studies
Year: 2002
OAI identifier:

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.

Suggested articles


  1. (2001). (Eds.). Simulating the Evolution of Language.
  2. (1990). A bottom-up mechanism for behaviour selection in an artificial creature.
  3. (1996). A Cricket Robot. doi
  4. (1986). A robust layered control system for a mobile robot.
  5. (1994). An Ethological Model for Implementation in Mobile Robots.
  6. (2001). Artificial Societies of Intelligent Agents. Unpublished BEng Thesis. Fundación Arturo Rosenblueth,
  7. (1997). Being There: Putting Brain, Body, and World Together Again.
  8. (2001). Can robots make good models of biological behaviour? doi
  9. (1991). Computational Neuroethology: A Provisional Manifesto. In
  10. (2000). Conceptual Spaces.
  11. (2002). Developing Knowledge from Adaptive Behaviour. Unpublished MSc Thesis.
  12. (1997). Evolutionary Robotics: The Sussex Approach.
  13. (1998). Evolutionary Robotics.
  14. (1997). Fiddler crabs use the visual horizon to distinguish predators from conspecifics: a review of the evidence.
  15. (1994). How Logic Emerges from the Dynamics of Information. In
  16. (1990). Intelligence as Adaptive Behaviour: an Experiment in Computational Neuroethology.
  17. (1995). Intelligence without reason. In
  18. (1998). Magic Words. How Language Augments Human Cognition. In
  19. (1998). Modelling social action for AI agents.
  20. (2003). Natural Born Cyborgs.
  21. (1987). Neural and Brain Modeling.
  22. (2001). Neutral Evolution and Aesthetics: Vladimir Nabokov and Insect Mimicry. Santa Fe Institute Working Paper
  23. (1992). On the thresholds of knowledge.
  24. (2001). Programmable computing machine made of biomolecules.
  25. (2000). Redes de Conductas Internas como Nodos-Pizarrón: Selección de Acciones y Aprendizaje en un Robot Reactivo. Unpublished PhD Dissertation, Instituto de Investigaciones Biomédicas/UNAM,
  26. (2001). The Epigenesis of Meaning in Human Beings,
  27. (1989). The Metaphorical Brain 2. Neural Networks and Beyond.
  28. (1981). The Oxford Companion to Animal Behavior.
  29. (1998). The social brain hypothesis.
  30. (1987). The Tree of Knowledge: The Biological Roots of Human Understanding.
  31. (2000). Thinking Adaptive: Towards a Behaviours Virtual Laboratory. In
  32. (1991). Today the earwig, tomorrow man?
  33. (1959). What the frog’s eye tells the frog’s brain”.