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Visuo: A model of visuospatial instantiation of quantitative magnitudes

Published online by Cambridge University Press:  24 July 2013

Jonathan Gagné  and
Jim Davies
Jonathan Gagné
Affiliation:
Systems Design Engineering Department, University of Waterloo, 200 University Avenue West, Waterloo, ON, Canada N2L 3G1; e-mail: jgagne@uwaterloo.ca
Jim Davies
Affiliation:
Institute of Cognitive Science, Carleton University, 1125 Colonel By Drive, Ottawa, ON, Canada K1S 5B6; e-mail: jim@jimdavies.org
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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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Type
Articles
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The Knowledge Engineering Review , Volume 28 , Special Issue 3: Visualization, Visual Representation and Reasoning , September 2013 , pp. 347 - 366
Copyright
Copyright © Cambridge University Press 2013 

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