InformationReuse and Integration addresses the efficient extension and creation ofknowledge through the exploitation of Kolmogorov complexity in the extractionand application of domain symmetry. Knowledge, which seems to be novel, canmore often than not be recast as the image of a sequence of transformations,which yield symmetric knowledge. When the size of those transformations and/orthe length of that sequence of transforms exceeds the size of the image, thenthat image is said to be novel or random. It may also be that the new knowledgeis random in that no such sequence of transforms, which produces it exists, oris at least known.Thenine chapters comprising this volume incorporate symmetry, reuse, andintegration as overt operational procedures or as operations built into theformal representations of data and operators employed. Either way, theaforementioned theoretical underpinnings of information reuse and integrationare supported.
Theoretical Information Reuse and Integration
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