A model of abstraction in visual perception
- 1 September 2001
- journal article
- research article
- Published by Taylor & Francis in Applied Artificial Intelligence
- Vol. 15 (8) , 761-776
- https://doi.org/10.1080/088395101317018591
Abstract
In artificial intelligence, abstraction has been mainly studied as a mapping between languages in relation to problem-solving, with the aim of reducing the complexity of the task. However, abstraction has a much larger scope in reasoning; we are investigating, in this article, how abstraction can be used in concept representation. To this aim, we propose a novel, perception-based model of abstraction, which originates from the observation that conceptualization of a domain, even though involving entities belonging to several epistemological levels, is nevertheless primarily based on perception. This view has been recently advocated by Goldstone and Barsalou in cognitive science. A model of representation/abstraction is then proposed and its application to a real-world problem of robot visual perception and categorization is presented.Keywords
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