Information Compression by Multiple Alignment, Unification and Search as
  a Unifying Principle in Computing and Cognition
  This article presents an overview of the idea that "information compression
by multiple alignment, unification and search" (ICMAUS) may serve as a unifying
principle in computing (including mathematics and logic) and in such aspects of
human cognition as the analysis and production of natural language, fuzzy
pattern recognition and best-match information retrieval, concept hierarchies
with inheritance of attributes, probabilistic reasoning, and unsupervised
inductive learning. The ICMAUS concepts are described together with an outline
of the SP61 software model in which the ICMAUS concepts are currently realised.
A range of examples is presented, illustrated with output from the SP61 model.
