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Abstract: High-level perception---the process of making sense of complex data at an abstract, conceptual level---is fundamental to human cognition. Through high-level perception, chaotic environmental stimuli are organized into the mental representations that are used throughout cognitive processing. Much work in traditional artificial intelligence has ignored the process of high-level perception, by starting with hand-coded representations. In this paper, we argue that this dismissal of perceptual... (Update)
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BibTeX entry: (Update)
David J. Chalmers, Robert M. French, and Douglas R. Hofstadter, "High-Level Perception, Representation, and Analogy: A Critique of Artificial Intelligence Methodology," Technical Report CRCC-TR-49, Center for Research in Concepts and Cognition, Indiana University, March 1991. http://citeseer.ist.psu.edu/chalmers91highlevel.html More
@misc{ chalmers91highlevel,
author = "D. Chalmers and R. French and D. Hofstadter",
title = "High-Level Perception, Representation, and Analogy: A Critique of Artificial
Intelligence Methodology",
text = "David J. Chalmers, Robert M. French, and Douglas R. Hofstadter, High-Level
Perception, Representation, and Analogy: A Critique of Artificial Intelligence
Methodology, Technical Report CRCC-TR-49, Center for Research in Concepts
and Cognition, Indiana University, March 1991.",
year = "1991",
url = "citeseer.ist.psu.edu/chalmers91highlevel.html" }
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[Article contains additional citations not shown here]
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