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Theoretical information reuse and in...

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Theoretical information reuse and integration

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Theoretical information reuse and integration/ edited by Thouraya Bouabana-Tebibel, Stuart H. Rubin.
其他作者:	Bouabana-Tebibel, Thouraya.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xii, 217 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Kolmogorov complexity. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-31311-5
ISBN:	9783319313115

Theoretical information reuse and integration
Theoretical information reuse and integration[electronic resource] /edited by Thouraya Bouabana-Tebibel, Stuart H. Rubin. - Cham :Springer International Publishing :2016. - xii, 217 p. :ill. (some col.), digital ;24 cm. - Advances in intelligent systems and computing,v.4462194-5357 ;. - Advances in intelligent systems and computing ;173..

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.

ISBN: 9783319313115

Standard No.: 10.1007/978-3-319-31311-5doiSubjects--Topical Terms:

893836
Kolmogorov complexity.

LC Class. No.: QA267.7

Dewey Class. No.: 004.6

Theoretical information reuse and integration
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520 $a 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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