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Application of AI toward productivity concerns sensor devices,
control of assembly using sensory feedback, and programming assembly
devices ranging from special purpose "hard" automation to general
purpose manipulators.  For programmable devices to make an impact,
they must be conveniently programmed in user-oriented high level
language systems.  But more is required: to program at the level of
instruction manuals, with the machine performing necessary
bookkeeping; to simplify setup of assemblies using sensory
capabilities.  A principal area of AI is the study of representation
and descriptor systems.  As applied to productivity technology,
descriptor systems enable machines to understand assembly primitives. 
Setup and planning operations can be carried out using small amounts
of time on large systems with advanced facilities.  Repetitive
execution of assembly can be carried out on small dedicated machines
with optimal, special-purpose programs with only needed facilities,
compiled by planning systems on large machines.