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A Model of Abstraction in Visual Perception

Lorenza Saitta Jean-Daniel Zucker 1
1 APA - Apprentissage et Acquisition des connaissances
LIP6 - Laboratoire d'Informatique de Paris 6
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.
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Submitted on : Thursday, August 13, 2015 - 5:15:14 PM
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Lorenza Saitta, Jean-Daniel Zucker. A Model of Abstraction in Visual Perception. Applied Artificial Intelligence, Taylor & Francis, 2001, 15 (8), pp.761-776. ⟨10.1080/088395101317018591⟩. ⟨hal-01184259⟩



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