Conceptual spaces as a framework for knowledge representation
Author
Summary, in English
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
presented.
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
presented.
Department/s
Publishing year
2004
Language
English
Pages
9-27
Publication/Series
Mind and Matter
Volume
2
Issue
2
Links
Document type
Journal article
Publisher
Imprint Academic
Topic
- General Language Studies and Linguistics
- Learning
Keywords
- Modeling representations Explanatory Associationism
Status
Published
ISBN/ISSN/Other
- ISSN: 1611-8812