Skip to main content

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2084))

Included in the following conference series:

Abstract

Conceptual spaces have been proposed as a meso level representation, intermediate between symbolic and connectionist representations. We define a conceptual space to be a set of images or “voltage maps” on a compact sub plane, and equip it with pseudo-physiological notions of distance and betweenness. While our meso level representation is easily linked to higher and lower representations, we argue that its natural notion of geometry provides powerful additional tools for knowledge modelling and reasoning. As illustration, we offer an explanation of multi-dimensional experimental results which suggets distances follow different order Minkowski measures according to whether the dimentions are integral or separable.

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 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. Aisbett, J. and Gibbon, G (1994) A tunable distance measure for coloured solid models Artificial Intelligence 65, 143–164.

    Article  MATH  Google Scholar 

  2. Aisbett, J. and Gibbon, G (2000) A general formulation of conceptual spaces, submitted to Artificial Intelligence.

    Google Scholar 

  3. Balkenius, C. (1998) Are there dimensions in the brain? In Spinning Ideas: electronic essays dedicated to Peter Gärdenfos on his fiftieth birthday. http://www,lucs.lu.se/spinning/categories/cognitive/Balkenius/index.html

  4. Freeman, W (1994) Qualitative Overview of Population Neurodynamics Neural modeling and neural networks, 1994, 185–215

    Google Scholar 

  5. Gärdenfors, P (2000) Conceptual Spaces: The Geometry of Thought. MIT Press.

    Google Scholar 

  6. Hummel, J. and Biederman, I. (1992) Dynamic binding in a neural network for shape recognition Psychological Review 99, 3, 480–517.

    Article  Google Scholar 

  7. Margolis, E and Laurence S (1999) (ed) Concepts: Core Readings MIT Press

    Google Scholar 

  8. Nosofsky, R (1992) Similarity, scaling and cognitive process models Annual Review of Psychology 43, 25–53.

    Article  Google Scholar 

  9. Omori, T. Mochizucki, A. et al (1999) Emergence of symbolic behavior from brain like memory with dynamic attention Neural Networks 12, 1157–1172.

    Article  Google Scholar 

  10. Shepard, R. (1987) Toward a universal law of generalization for psychological science. Science, 237, 1317–132

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Aisbett, J., Gibbon, G. (2001). Conceptual Spaces as Voltage Maps. In: Mira, J., Prieto, A. (eds) Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence. IWANN 2001. Lecture Notes in Computer Science, vol 2084. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45720-8_94

Download citation

  • DOI: https://doi.org/10.1007/3-540-45720-8_94

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42235-8

  • Online ISBN: 978-3-540-45720-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics