Theoretical Information Reuse and Integration

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.