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Theoretical Information Reuse and Integration

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Information Reuse and Integration addresses the efficient extension and creation of knowledge through the exploitation of Kolmogorov complexity in the extraction and application of domain symmetry. Knowledge, which seems to be novel, can more often than not be recast as the image of a sequence of transformations, which yield symmetric knowledge. When the size of those transformations and/or the length of that sequence of transforms exceeds the size of the image, then that image is said to be novel or random. It may also be that the new knowledge is random in that no such sequence of transforms, which produces it exists, or is at least known.

The nine chapters comprising this volume incorporate symmetry, reuse, and integration as overt operational procedures or as operations built into the formal representations of data and operators employed. Either way, the aforementioned theoretical underpinnings of information reuse and integration are supported.

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Publisher

: Springer Cham., 2016

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Language

English

ISBN/ISSN

978-3-319-31311-5

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NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Artificial Intelligence
Computational Intelligence

Specific Detail Info

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Statement of Responsibility

Thouraya Bouabana-Tebibel, Stuart H. Rubin

Other Information

Cataloger

Yudi

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Journal Volume

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