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A layered abduction model of perception: Integrating bottom-up and top-down processing in a multi-sense agentA layered-abduction model of perception is presented which unifies bottom-up and top-down processing in a single logical and information-processing framework. The process of interpreting the input from each sense is broken down into discrete layers of interpretation, where at each layer a best explanation hypothesis is formed of the data presented by the layer or layers below, with the help of information available laterally and from above. The formation of this hypothesis is treated as a problem of abductive inference, similar to diagnosis and theory formation. Thus this model brings a knowledge-based problem-solving approach to the analysis of perception, treating perception as a kind of compiled cognition. The bottom-up passing of information from layer to layer defines channels of information flow, which separate and converge in a specific way for any specific sense modality. Multi-modal perception occurs where channels converge from more than one sense. This model has not yet been implemented, though it is based on systems which have been successful in medical and mechanical diagnosis and medical test interpretation.
Document ID
19900020535
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Josephson, John R.
(Ohio State Univ. Columbus, OH, United States)
Date Acquired
September 6, 2013
Publication Date
January 31, 1989
Publication Information
Publication: JPL, California Inst. of Tech., Proceedings of the NASA Conference on Space Telerobotics, Volume 4
Subject Category
Man/System Technology And Life Support
Accession Number
90N29851
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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