[mod.ai] Seminar - Deriving Problem Reduction Operators

RIDDLE@RED.RUTGERS.EDU.UUCP (09/12/86)

I am giving a practice talk of a talk I will be giving in a few weeks.
It is at 1 pm in 423 on Monday the 15th.
Everyone is invited and all comments are welcome.
The abstract follows.

This research deals with automatically shifting from one problem
representation to another representation which is more efficient, with
respect to a given problem solving method, for this problem class. I
attempt to discover general purpose primitive representation shifts
and techniques for automating them.  To achieve this goal, I am
defining and automating the primitive representation shifts explored
by Amarel in the Missionaries & Cannibals problem @cite(amarel1).
The techniques for shifting representations which I have already
defined are: compiling constraints, removing irrelevant information,
removing redundant information, deriving macro-operators, deriving
problem reduction operators, and deriving macro-objects.  In this
paper, I will concentrate on the technique for deriving problem
reduction operators (i.e., critical reduction) and a method for
automating this technique (i.e., invariant reduction).  A set of
sufficient conditions for the applicability of this technique over a
problem class is discussed; the proofs appear in a forthcoming
Rutgers technical report.