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Conceptual spaces as a framework for knowledge representation

Författare

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.

Publiceringsår

2004

Språk

Engelska

Sidor

9-27

Publikation/Tidskrift/Serie

Mind and Matter

Volym

2

Issue

2

Dokumenttyp

Artikel i tidskrift

Förlag

Imprint Academic

Ämne

  • General Language Studies and Linguistics
  • Learning

Nyckelord

  • Modeling representations Explanatory Associationism

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 1611-8812