Conceptual spaces as a framework for knowledge representation

Research output: Contribution to journalArticle


The dominating models of information processes have been based
on symbolic representations of information and knowledge. During
the last decades, a varietyof non-symbolic models have been
proposed as superior. The prime examples of models within the
non-symbolic approach are neural networks. However, to a large
extent theylac k a higher-level theoryof representation. In this paper,
conceptual spaces are suggested as an appropriate framework
for non-symbolic models. Conceptual spaces consist of a number of
“qualitydimensions” that often are derived from perceptual mechanisms.
It will be outlined how conceptual spaces can represent
various kind of information and how theycan be used to describe
concept learning. The connections to prototype theory will also be


Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • General Language Studies and Linguistics
  • Learning


  • Modeling representations Explanatory Associationism
Original languageEnglish
Pages (from-to)9-27
JournalMind and Matter
Issue number2
Publication statusPublished - 2004
Publication categoryResearch