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Modeling uncertainty in human perception

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 286))

Abstract

Human perception of resemblance in spatio-temporal patterns is modeled with the procedural normal description schemata [5–11], which are used for gathering experiential knowledge embedded in sensory data. The representation and the quantification of uncertainty in human perception and in the formal schemata which model it are examined in this paper.

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B. Bouchon R. R. Yager

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© 1987 Springer-Verlag Berlin Heidelberg

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Ligomenides, P.A. (1987). Modeling uncertainty in human perception. In: Bouchon, B., Yager, R.R. (eds) Uncertainty in Knowledge-Based Systems. IPMU 1986. Lecture Notes in Computer Science, vol 286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-18579-8_33

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  • DOI: https://doi.org/10.1007/3-540-18579-8_33

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-18579-6

  • Online ISBN: 978-3-540-48020-4

  • eBook Packages: Springer Book Archive

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