42 research outputs found
Neuere Entwicklungen der deklarativen KI-Programmierung : proceedings
The field of declarative AI programming is briefly characterized. Its recent developments in Germany are reflected by a workshop as part of the scientific congress KI-93 at the Berlin Humboldt University. Three tutorials introduce to the state of the art in deductive databases, the programming language Gödel, and the evolution of knowledge bases. Eleven contributed papers treat knowledge revision/program transformation, types, constraints, and type-constraint combinations
Combining Static and Dynamic Contract Checking for Curry
Static type systems are usually not sufficient to express all requirements on
function calls. Hence, contracts with pre- and postconditions can be used to
express more complex constraints on operations. Contracts can be checked at run
time to ensure that operations are only invoked with reasonable arguments and
return intended results. Although such dynamic contract checking provides more
reliable program execution, it requires execution time and could lead to
program crashes that might be detected with more advanced methods at compile
time. To improve this situation for declarative languages, we present an
approach to combine static and dynamic contract checking for the functional
logic language Curry. Based on a formal model of contract checking for
functional logic programming, we propose an automatic method to verify
contracts at compile time. If a contract is successfully verified, dynamic
checking of it can be omitted. This method decreases execution time without
degrading reliable program execution. In the best case, when all contracts are
statically verified, it provides trust in the software since crashes due to
contract violations cannot occur during program execution.Comment: Pre-proceedings paper presented at the 27th International Symposium
on Logic-Based Program Synthesis and Transformation (LOPSTR 2017), Namur,
Belgium, 10-12 October 2017 (arXiv:1708.07854
Analyzing logic programs with dynamic scheduling
Traditional logic programming languages, such as Prolog, use a fixed left-to-right atom scheduling rule. Recent logic programming languages, however, usually provide more flexible scheduling in which computation generally proceeds leftto- right but in which some calis are dynamically
"delayed" until their arguments are sufRciently instantiated
to allow the cali to run efficiently. Such dynamic scheduling has a significant cost. We give a framework for the global analysis of logic programming languages with dynamic scheduling and show that program analysis based on this framework supports optimizations which remove much
of the overhead of dynamic scheduling
A debugging model for functional logic programs
This paper presents a box-oriented debugging model for the functional logic language ALF. Due to the sophisticated operational semantics of ALF which is based on innermost basic narrowing with simplification, the debugger must reflect the application of the different computation rules during program execution. Hence our debugging model includes not only one box type as in Byrd's debugging model for logic programs but several different kinds of boxes corresponding to the various computation rules of the functional logic language (narrowing, simplification etc.). Moreover, additional box types are introduced in order to allow skips over (sometimes) uninteresting program parts like proofs of the condition in a conditional equation. Since ALF is a genuine amalgamation of functional and logic languages, our debugging model subsumes operational aspects of both kinds of languages. As a consequence, it can be also used for pure logic languages, pure functional languages with eager evaluation, or functional logic languages with a less sophisticated operational semantics like SLOG or eager BABEL
Detection and optimization of suspension-free logic programs
AbstractIn recent years, language mechanisms to suspend, or delay, the execution of goals until certain variables become bound have become increasingly popular in logic programming languages. While convenient, such mechanisms can make control flow within a program difficult to predict at compile time, and therefore render many traditional compiler optimizations inapplicable. Unfortunately, this performance cost is also incurred by programs that do not use any delay primitives. In this paper, we describe a simple dataflow analysis for detecting computations where suspension effects can be ignored, and discuss several low-level optimizations that rely on this information. Our algorithm has been implemented in the jc system. Optimizations based on information it produces result in significant performance improvements, demonstrating speed comparable to or exceeding that of optimized C programs
Relational Programming in miniKanren: Techniques, Applications, and Implementations
Thesis (Ph.D.) - Indiana University, Computer Sciences, 2009The promise of logic programming is that programs can be written
relationally, without distinguishing between input
and output arguments. Relational programs are remarkably
flexible—for example, a relational type-inferencer also performs
type checking and type inhabitation, while a relational theorem prover
generates theorems as well as proofs and can even be used as a simple
proof assistant.
Unfortunately, writing relational programs is difficult, and requires
many interesting and unusual tools and techniques. For example, a
relational interpreter for a subset of Scheme might use nominal
unification to support variable binding and scope, Constraint Logic
Programming over Finite Domains (CLP(FD)) to implement relational
arithmetic, and tabling to improve termination behavior.
In this dissertation I present miniKanren, a family
of languages specifically designed for relational programming, and
which supports a variety of relational idioms and techniques. I show
how miniKanren can be used to write interesting relational programs,
including an extremely flexible lean tableau theorem prover and a
novel constraint-free binary arithmetic system with strong termination
guarantees. I also present interesting and practical techniques used
to implement miniKanren, including a nominal unifier that uses
triangular rather than idempotent substitutions and a novel
“walk”-based algorithm for variable lookup in triangular
substitutions.
The result of this research is a family of languages that supports a
variety of relational idioms and techniques, making it feasible and
useful to write interesting programs as relations