Report on ICOT

Mark E. Stickel
June 9, 1992

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efficiency of theorem proving and described Argonne's approach to theorem proving. 
I performed many experiments with theorems ICOT was working on using Argonne's ! 
OTTER and my own PTTP. I implemented discrimination-net-based term indexing in 
KL1; this was used in some versions of MGTP. Aspects of the Argonne approach that 
I described and praised to them also found their way into versions of MGTP. 

A focus of theorem proving research at ICOT was to prove a set of theorems offered 
by Argonne's Ross Overbeek as challenge problems to test the performance of theo-
rem proving programs. These are difficult problems solved by few programs. During 
and between my visits to ICOT, I saw steady progress being made on solving these 
problems. They were first solved by use of many heuristics, then without heuristics 
but with very poor parallel speedup, and finally solved with near-linear speedups with-
out heuristics. A proof "look-ahead" capability often allows the ICOT prover to solve 
problems after generating many fewer clauses than Argonne's OTTER. 

These problems were solved by a "nonground" MGTP designed to solve such non-
range-restricted Horn problems. The other, original "ground" MGTP is designed for 
range-restricted non-Horn problems. Ground MGTP is based on Manthey and Bry's 
SATCHMO theorem prover and is basically a hyperresolution theorem prover that 
performs case-splitting on non-unit, positive derived clauses. Case-splitting is feasible 
because the range restriction ensures that derived clauses are ground, so there is no 
problem with variable sharing between cases. Ground MGTP is especially well suited 
to implementation in KL1 on PIMs. The range restriction implies that whenever a pair 
of terms is unified, at least one of those terms will be ground (variable free). This per-
mits the efficient implementation of theorem-proving variables by KL1 logical variables 
and the use of KL1's one-way, single assignment unification. By contrast, nonground 
MGTP required a unification algorithm, with theorem-proving variables represented 
by integers and substitutions represented by vectors indexed by these integers, be writ-
ten in KL1, resulting in a costly slowdown. Case-splitting in ground MGTP provides 
lots of work for many processing elements, with low communication requirements, thus 
making it easy to achieve high speedup factors. In contrast, the successful achievement 
of high speedup factors for the nonground MGTP required much experimentation and 
refinement of work distribution schemes. 

Ground MGTP is still a niche theorem prover, well-suited only for range-restricted, 
non-Horn problems. It is motivated by the case-splitting possibilities of non-Horn 
problems, so it offers nothing extra for Horn problems. Although any problem that is 
not Initially range-restricted (every variable of a positive literal of a clause must also 
appear in a negative literal of the clause) can be translated into one that is by adding 
a "dom" predicate that inductively defines ground terms of the domain and qualifying 
non-range-restricted clauses with "dom" literals, this is usually not very effective. Nev-
ertheless, range-restricted non-Horn problems appear to be a useful niche. Evidence 
of this comes in the form of ICOT's recent solution of an open problem in mathemat-


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