134,028 research outputs found
A Polynomial Translation of Logic Programs with Nested Expressions into Disjunctive Logic Programs: Preliminary Report
Nested logic programs have recently been introduced in order to allow for
arbitrarily nested formulas in the heads and the bodies of logic program rules
under the answer sets semantics. Nested expressions can be formed using
conjunction, disjunction, as well as the negation as failure operator in an
unrestricted fashion. This provides a very flexible and compact framework for
knowledge representation and reasoning. Previous results show that nested logic
programs can be transformed into standard (unnested) disjunctive logic programs
in an elementary way, applying the negation as failure operator to body
literals only. This is of great practical relevance since it allows us to
evaluate nested logic programs by means of off-the-shelf disjunctive logic
programming systems, like DLV. However, it turns out that this straightforward
transformation results in an exponential blow-up in the worst-case, despite the
fact that complexity results indicate that there is a polynomial translation
among both formalisms. In this paper, we take up this challenge and provide a
polynomial translation of logic programs with nested expressions into
disjunctive logic programs. Moreover, we show that this translation is modular
and (strongly) faithful. We have implemented both the straightforward as well
as our advanced transformation; the resulting compiler serves as a front-end to
DLV and is publicly available on the Web.Comment: 10 pages; published in Proceedings of the 9th International Workshop
on Non-Monotonic Reasonin
Elementary Sets for Logic Programs
By introducing the concepts of a loop and a loop formula, Lin and Zhao showed
that the answer sets of a nondisjunctive logic program are exactly the models
of its Clark's completion that satisfy the loop formulas of all loops.
Recently, Gebser and Schaub showed that the Lin-Zhao theorem remains correct
even if we restrict loop formulas to a special class of loops called
``elementary loops.'' In this paper, we simplify and generalize the notion of
an elementary loop, and clarify its role. We propose the notion of an
elementary set, which is almost equivalent to the notion of an elementary loop
for nondisjunctive programs, but is simpler, and, unlike elementary loops, can
be extended to disjunctive programs without producing unintuitive results. We
show that the maximal unfounded elementary sets for the ``relevant'' part of a
program are exactly the minimal sets among the nonempty unfounded sets. We also
present a graph-theoretic characterization of elementary sets for
nondisjunctive programs, which is simpler than the one proposed in (Gebser &
Schaub 2005). Unlike the case of nondisjunctive programs, we show that the
problem of deciding an elementary set is coNP-complete for disjunctive
programs.Comment: 6 pages. AAAI 2006, 244-249. arXiv admin note: substantial text
overlap with arXiv:1012.584
On Elementary Loops of Logic Programs
Using the notion of an elementary loop, Gebser and Schaub (2005. Proceedings of the Eighth International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR\u2705), 53–65) refined the theorem on loop formulas attributable to Lin and Zhao (2004) by considering loop formulas of elementary loops only. In this paper, we reformulate the definition of an elementary loop, extend it to disjunctive programs, and study several properties of elementary loops, including how maximal elementary loops are related to minimal unfounded sets. The results provide useful insights into the stable model semantics in terms of elementary loops. For a nondisjunctive program, using a graph-theoretic characterization of an elementary loop, we show that the problem of recognizing an elementary loop is tractable. On the other hand, we also show that the corresponding problem is coNP-complete for a disjunctive program. Based on the notion of an elementary loop, we present the class of Head-Elementary-loop-Free (HEF) programs, which strictly generalizes the class of Head-Cycle-Free (HCF) programs attributable to Ben-Eliyahu and Dechter (1994. Annals of Mathematics and Artificial Intelligence 12, 53–87). Like an HCF program, an HEF program can be turned into an equivalent nondisjunctive program in polynomial time by shifting head atoms into the body
On cascade products of answer set programs
Describing complex objects by elementary ones is a common strategy in
mathematics and science in general. In their seminal 1965 paper, Kenneth Krohn
and John Rhodes showed that every finite deterministic automaton can be
represented (or "emulated") by a cascade product of very simple automata. This
led to an elegant algebraic theory of automata based on finite semigroups
(Krohn-Rhodes Theory). Surprisingly, by relating logic programs and automata,
we can show in this paper that the Krohn-Rhodes Theory is applicable in Answer
Set Programming (ASP). More precisely, we recast the concept of a cascade
product to ASP, and prove that every program can be represented by a product of
very simple programs, the reset and standard programs. Roughly, this implies
that the reset and standard programs are the basic building blocks of ASP with
respect to the cascade product. In a broader sense, this paper is a first step
towards an algebraic theory of products and networks of nonmonotonic reasoning
systems based on Krohn-Rhodes Theory, aiming at important open issues in ASP
and AI in general.Comment: Appears in Theory and Practice of Logic Programmin
Elementary linear logic revisited for polynomial time and an exponential time hierarchy (extended version)
Nombre de pages: 20. Une version courte de ce travail est à paraître dans les actes de: Asian Symposium on Programming Languages and Systems (APLAS 2011).Elementary linear logic is a simple variant of linear logic, introduced by Girard and which characterizes in the proofs-as-programs approach the class of elementary functions (computable in time bounded by a tower of exponentials of fixed height). Our goal here is to show that despite its simplicity, elementary linear logic can nevertheless be used as a common framework to characterize the different levels of a hierarchy of deterministic time complexity classes, within elementary time. We consider a variant of this logic with type fixpoints and weakening. By selecting specific types we then characterize the class P of polynomial time predicates and more generally the hierarchy of classes k-EXP, for k>=0, where k-EXP is the union of DTIME(2_k^{n^i}), for i>=1
On syntactically similar logic programs and sequential decompositions
Rule-based reasoning is an essential part of human intelligence prominently
formalized in artificial intelligence research via logic programs. Describing
complex objects as the composition of elementary ones is a common strategy in
computer science and science in general. The author has recently introduced the
sequential composition of logic programs in the context of logic-based
analogical reasoning and learning in logic programming. Motivated by these
applications, in this paper we construct a qualitative and algebraic notion of
syntactic logic program similarity from sequential decompositions of programs.
We then show how similarity can be used to answer queries across different
domains via a one-step reduction. In a broader sense, this paper is a further
step towards an algebraic theory of logic programming.Comment: arXiv admin note: text overlap with arXiv:1809.0993
An Elementary Affine λ-Calculus with Multithreading and Side Effects
International audienceLinear logic provides a framework to control the complexity of higher-order functional programs. We present an extension of this framework to programs with multithreading and side effects focusing on the case of elementary time. Our main contributions are as follows. First, we introduce a modal call-by-value λ-calculus with multithreading and side effects. Second, we provide a combinatorial proof of termination in elementary time for the language. Third, we introduce an elementary affine type system that guarantees the standard subject reduction and progress properties. Finally, we illustrate the programming of iterative functions with side effects in the presented formalism
Transformation-Based Bottom-Up Computation of the Well-Founded Model
We present a framework for expressing bottom-up algorithms to compute the
well-founded model of non-disjunctive logic programs. Our method is based on
the notion of conditional facts and elementary program transformations studied
by Brass and Dix for disjunctive programs. However, even if we restrict their
framework to nondisjunctive programs, their residual program can grow to
exponential size, whereas for function-free programs our program remainder is
always polynomial in the size of the extensional database (EDB).
We show that particular orderings of our transformations (we call them
strategies) correspond to well-known computational methods like the alternating
fixpoint approach, the well-founded magic sets method and the magic alternating
fixpoint procedure. However, due to the confluence of our calculi, we come up
with computations of the well-founded model that are provably better than these
methods.
In contrast to other approaches, our transformation method treats magic set
transformed programs correctly, i.e. it always computes a relevant part of the
well-founded model of the original program.Comment: 43 pages, 3 figure
An Elementary affine λ-calculus with multithreading and side effects (extended version)
Linear logic provides a framework to control the complexity of higher-order functional programs. We present an extension of this framework to programs with multithreading and side effects focusing on the case of elementary time. Our main contributions are as follows. First, we provide a new combinatorial proof of termination in elementary time for the functional case. Second, we develop an extension of the approach to a call-by-value -calculus with multithreading and side effects. Third, we introduce an elementary affine type system that guarantees the standard subject reduction and progress properties. Finally, we illustrate the programming of iterative functions with side effects in the presented formalism
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