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.
