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Gagné, J. & Davies, J. (2013). Visuo: A model of visuospatial instantiation of quantitative magnitudes. Knowledge Engineering Review.
Cite this for:
- SYSTEM: Visuo
- First citation of Visuo
- System for generating realistic quesses of quantitative magnitudes such as size
Publisher: Cambridge Journals
BibTex Entry:
@Article{GagneDavies2013,
author = {Gagne, Jonathan and Davies, Jim},
title = {Visuo: A model of visuospatial instantiation of quantitative magnitudes},
journal = {Knowledge Engineering Review},
year = {2013},
pages = {1--20}
}
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From the
Visual Analogy research theme.
Abstract
Visuo is an implemented Python program that models visual reasoning. It takes as input a description of a scene in words (e.g. ‘small dog on a sunny street’) and produces estimates of the quantitative magnitudes of the qualitative input (e.g. the size of the dog and the brightness of the street). We claim that reasoners transfer quantitative knowledge to new concepts from distributions of familiar concepts in memory. We also claim that visuospatial magnitudes should be stored as distributions over fuzzy sets. We show that Visuo successfully predicts quantitative knowledge to new concepts.
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JimDavies
(
jim@jimdavies.org
)