Conceptual spaces as a framework for knowledge representation
(2004) In Mind and Matter 2(2). p.9-27- Abstract
- 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... (More) - 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/144289
- author
- Gärdenfors, Peter LU
- organization
- publishing date
- 2004
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Modeling representations Explanatory Associationism
- in
- Mind and Matter
- volume
- 2
- issue
- 2
- pages
- 9 - 27
- publisher
- Imprint Academic
- external identifiers
-
- scopus:33845607242
- ISSN
- 1611-8812
- language
- English
- LU publication?
- yes
- id
- ecf49a68-3775-48d2-bbca-784bc43cd6fd (old id 144289)
- alternative location
- http://www.mindmatter.de/mmabstracts2_2.htm#g%E4r
- date added to LUP
- 2016-04-01 16:14:03
- date last changed
- 2022-03-30 06:21:14
@article{ecf49a68-3775-48d2-bbca-784bc43cd6fd,
abstract = {{The dominating models of information processes have been based<br/><br>
on symbolic representations of information and knowledge. During<br/><br>
the last decades, a varietyof non-symbolic models have been<br/><br>
proposed as superior. The prime examples of models within the<br/><br>
non-symbolic approach are neural networks. However, to a large<br/><br>
extent theylac k a higher-level theoryof representation. In this paper,<br/><br>
conceptual spaces are suggested as an appropriate framework<br/><br>
for non-symbolic models. Conceptual spaces consist of a number of<br/><br>
“qualitydimensions” that often are derived from perceptual mechanisms.<br/><br>
It will be outlined how conceptual spaces can represent<br/><br>
various kind of information and how theycan be used to describe<br/><br>
concept learning. The connections to prototype theory will also be<br/><br>
presented.}},
author = {{Gärdenfors, Peter}},
issn = {{1611-8812}},
keywords = {{Modeling representations
Explanatory
Associationism}},
language = {{eng}},
number = {{2}},
pages = {{9--27}},
publisher = {{Imprint Academic}},
series = {{Mind and Matter}},
title = {{Conceptual spaces as a framework for knowledge representation}},
url = {{http://www.mindmatter.de/mmabstracts2_2.htm#g%E4r}},
volume = {{2}},
year = {{2004}},
}