124 research outputs found
Non-Termination Inference of Logic Programs
We present a static analysis technique for non-termination inference of logic
programs. Our framework relies on an extension of the subsumption test, where
some specific argument positions can be instantiated while others are
generalized. We give syntactic criteria to statically identify such argument
positions from the text of a program. Atomic left looping queries are generated
bottom-up from selected subsets of the binary unfoldings of the program of
interest. We propose a set of correct algorithms for automating the approach.
Then, non-termination inference is tailored to attempt proofs of optimality of
left termination conditions computed by a termination inference tool. An
experimental evaluation is reported. When termination and non-termination
analysis produce complementary results for a logic procedure, then with respect
to the leftmost selection rule and the language used to describe sets of atomic
queries, each analysis is optimal and together, they induce a characterization
of the operational behavior of the logic procedure.Comment: Long version (algorithms and proofs included) of a paper submitted to
TOPLA
Classes of Terminating Logic Programs
Termination of logic programs depends critically on the selection rule, i.e.
the rule that determines which atom is selected in each resolution step. In
this article, we classify programs (and queries) according to the selection
rules for which they terminate. This is a survey and unified view on different
approaches in the literature. For each class, we present a sufficient, for most
classes even necessary, criterion for determining that a program is in that
class. We study six classes: a program strongly terminates if it terminates for
all selection rules; a program input terminates if it terminates for selection
rules which only select atoms that are sufficiently instantiated in their input
positions, so that these arguments do not get instantiated any further by the
unification; a program local delay terminates if it terminates for local
selection rules which only select atoms that are bounded w.r.t. an appropriate
level mapping; a program left-terminates if it terminates for the usual
left-to-right selection rule; a program exists-terminates if there exists a
selection rule for which it terminates; finally, a program has bounded
nondeterminism if it only has finitely many refutations. We propose a
semantics-preserving transformation from programs with bounded nondeterminism
into strongly terminating programs. Moreover, by unifying different formalisms
and making appropriate assumptions, we are able to establish a formal hierarchy
between the different classes.Comment: 50 pages. The following mistake was corrected: In figure 5, the first
clause for insert was insert([],X,[X]
Logical Reduction of Metarules
International audienceMany forms of inductive logic programming (ILP) use metarules, second-order Horn clauses, to define the structure of learnable programs and thus the hypothesis space. Deciding which metarules to use for a given learning task is a major open problem and is a trade-off between efficiency and expressivity: the hypothesis space grows given more metarules, so we wish to use fewer metarules, but if we use too few metarules then we lose expressivity. In this paper, we study whether fragments of metarules can be logically reduced to minimal finite subsets. We consider two traditional forms of logical reduction: subsumption and entailment. We also consider a new reduction technique called derivation reduction, which is based on SLD-resolution. We compute reduced sets of metarules for fragments relevant to ILP and theoretically show whether these reduced sets are reductions for more general infinite fragments. We experimentally compare learning with reduced sets of metarules on three domains: Michalski trains, string transformations, and game rules. In general, derivation reduced sets of metarules outperform subsumption and entailment reduced sets, both in terms of predictive accuracies and learning times
An analysis of loop checking mechanisms for logic programs
AbstractWe systematically study loop checking mechanisms for logic programs by considering their soundness, completeness, relative strength and related concepts. We introduce a natural concept of a simple loop check and prove that no sound and complete simple loop check exists, even for programs without function symbols. Then we introduce a number of sound simple loop checks and identify natural classes of Prolog programs without function symbols for which they are complete. In these classes a limited form of recursion is allowed. As a by-product we obtain an implementation of the closed world assumption of Reiter (1978) and a query evaluation algorithm for these classes of logic programs
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