We describe an interactive search algorithm inspired by the
immune system. The algorithm
learns what parts of the search space are
not useful
to help a user explore large parameter spaces efficiently.
The algorithm is capable of finding consensus solutions for parties with
different selection criteria. A simple implementation of the
algorithm applied to selecting Biomorphs [#!Dawkins86!#] is
presented.