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The Problem of Combining Integral and Separable Dimensions
University of Skövde, School of Humanities and Informatics.
2001 (English)Report (Other academic)
Abstract [en]

For geometrical models of cognition, the notion of distance rules - or metrics - is fundamental. Within psychology, it is well established that pairs of dimensions that are processed holistically - integral dimensions - normally combine so as they are best described with a Euclidean metric, whereas pairs of dimensions that are processed analytically - separable dimensions - most often combine with a city-block metric. The experimental tradition studying information integration has typically been limited to two-dimensional stimuli. A next step is to study information integration when dealing with more complex stimuli. This step give rise to several interesting questions regarding information integration behaviour, especially when both integral and separable pairs are included. For example: How do we integrate information when both integral and separable pairs are involved? This paper extends earlier research regarding information integration in that it deals with stimuli with more than two dimensions, and with complex stimuli consisting of both dimensional pairs previously identified as holistic, and dimensional pairs previously identified as analytical. The general pattern identified is that information integration can be more accurately described with a rule taking aspects of stimuli into consideration compared to a traditional rule. For example, it appears that combinations of analytical and holistic stimuli, are better described by treating the different subspaces individually and then combining these with addition, compared to any single Minkowskian rule, and much better compared to any of the Minkowskian rules traditionally used (i.e. the city-block-, the Euclidean or the dominance-metrics).

Place, publisher, year, edition, pages
Skövde: Institutionen för kommunikation och information , 2001.
Series
IKI Technical Reports, HS-IDA-TR-01-002
National Category
Information Science
Identifiers
URN: urn:nbn:se:his:diva-1196OAI: oai:DiVA.org:his-1196DiVA: diva2:2324
Available from: 2008-06-17 Created: 2008-06-17 Last updated: 2010-04-01

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Citation style
  • apa
  • harvard1
  • ieee
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Language
  • de-DE
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Output format
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