196 research outputs found
Relational semantics of linear logic and higher-order model-checking
In this article, we develop a new and somewhat unexpected connection between
higher-order model-checking and linear logic. Our starting point is the
observation that once embedded in the relational semantics of linear logic, the
Church encoding of any higher-order recursion scheme (HORS) comes together with
a dual Church encoding of an alternating tree automata (ATA) of the same
signature. Moreover, the interaction between the relational interpretations of
the HORS and of the ATA identifies the set of accepting states of the tree
automaton against the infinite tree generated by the recursion scheme. We show
how to extend this result to alternating parity automata (APT) by introducing a
parametric version of the exponential modality of linear logic, capturing the
formal properties of colors (or priorities) in higher-order model-checking. We
show in particular how to reunderstand in this way the type-theoretic approach
to higher-order model-checking developed by Kobayashi and Ong. We briefly
explain in the end of the paper how his analysis driven by linear logic results
in a new and purely semantic proof of decidability of the formulas of the
monadic second-order logic for higher-order recursion schemes.Comment: 24 pages. Submitte
Practical Subtyping for System F with Sized (Co-)Induction
We present a rich type system with subtyping for an extension of System F.
Our type constructors include sum and product types, universal and existential
quantifiers, inductive and coinductive types. The latter two size annotations
allowing the preservation of size invariants. For example it is possible to
derive the termination of the quicksort by showing that partitioning a list
does not increase its size. The system deals with complex programs involving
mixed induction and coinduction, or even mixed (co-)induction and polymorphism
(as for Scott-encoded datatypes). One of the key ideas is to completely
separate the induction on sizes from the notion of recursive programs. We use
the size change principle to check that the proof is well-founded, not that the
program terminates. Termination is obtained by a strong normalization proof.
Another key idea is the use symbolic witnesses to handle quantifiers of all
sorts. To demonstrate the practicality of our system, we provide an
implementation that accepts all the examples discussed in the paper and much
more
Relational Semantics of Linear Logic and Higher-order Model Checking
In this article, we develop a new and somewhat unexpected connection between higher-order model-checking and linear logic. Our starting point is the observation that once embedded in the relational semantics of linear logic, the Church encoding of any higher-order recursion scheme (HORS) comes together with a dual Church encoding of an alternating tree automata (ATA) of the same signature. Moreover, the interaction between the relational interpretations of the HORS and of the ATA identifies the set of accepting states of the tree automaton against the infinite tree generated by the recursion scheme. We show how to extend this result to alternating parity automata (APT) by introducing a parametric version of the exponential modality of linear logic, capturing the formal properties of colors (or priorities) in higher-order model-checking. We show in particular how to reunderstand in this way the type-theoretic approach to higher-order model-checking developed by Kobayashi and Ong. We briefly explain in the end of the paper how this analysis driven by linear logic results in a new and purely semantic proof of decidability of the formulas of the monadic second-order logic for higher-order recursion schemes
Parametricity for Nested Types and GADTs
This paper considers parametricity and its consequent free theorems for
nested data types. Rather than representing nested types via their Church
encodings in a higher-kinded or dependently typed extension of System F, we
adopt a functional programming perspective and design a Hindley-Milner-style
calculus with primitives for constructing nested types directly as fixpoints.
Our calculus can express all nested types appearing in the literature,
including truly nested types. At the level of terms, it supports primitive
pattern matching, map functions, and fold combinators for nested types. Our
main contribution is the construction of a parametric model for our calculus.
This is both delicate and challenging. In particular, to ensure the existence
of semantic fixpoints interpreting nested types, and thus to establish a
suitable Identity Extension Lemma for our calculus, our type system must
explicitly track functoriality of types, and cocontinuity conditions on the
functors interpreting them must be appropriately threaded throughout the model
construction. We also prove that our model satisfies an appropriate Abstraction
Theorem, as well as that it verifies all standard consequences of parametricity
in the presence of primitive nested types. We give several concrete examples
illustrating how our model can be used to derive useful free theorems,
including a short cut fusion transformation, for programs over nested types.
Finally, we consider generalizing our results to GADTs, and argue that no
extension of our parametric model for nested types can give a functorial
interpretation of GADTs in terms of left Kan extensions and still be
parametric
Sequentiality vs. Concurrency in Games and Logic
Connections between the sequentiality/concurrency distinction and the
semantics of proofs are investigated, with particular reference to games and
Linear Logic.Comment: 35 pages, appeared in Mathematical Structures in Computer Scienc
Expressive Logical Combinators for Free
International audienceA popular technique for the analysis of web query languages relies on the translation of queries into logical formulas. These formulas are then solved for satisfiability using an off-the-shelf satisfiabil-ity solver. A critical aspect in this approach is the size of the obtained logical formula, since it constitutes a factor that affects the combined complexity of the global approach. We present logical combi-nators whose benefit is to provide an exponential gain in succinctness in terms of the size of the logical representation. This opens the way for solving a wide range of problems such as satisfiability and containment for expressive query languages in exponential-time, even though their direct formulation into the underlying logic results in an exponential blowup of the formula size, yielding an incorrectly presumed two-exponential time complexity. We illustrate this from a practical point of view on a few examples such as numerical occurrence constraints and tree frontier properties which are concrete problems found with semi-structured data
Introspective Pushdown Analysis of Higher-Order Programs
In the static analysis of functional programs, pushdown flow analysis and
abstract garbage collection skirt just inside the boundaries of soundness and
decidability. Alone, each method reduces analysis times and boosts precision by
orders of magnitude. This work illuminates and conquers the theoretical
challenges that stand in the way of combining the power of these techniques.
The challenge in marrying these techniques is not subtle: computing the
reachable control states of a pushdown system relies on limiting access during
transition to the top of the stack; abstract garbage collection, on the other
hand, needs full access to the entire stack to compute a root set, just as
concrete collection does. \emph{Introspective} pushdown systems resolve this
conflict. Introspective pushdown systems provide enough access to the stack to
allow abstract garbage collection, but they remain restricted enough to compute
control-state reachability, thereby enabling the sound and precise product of
pushdown analysis and abstract garbage collection. Experiments reveal
synergistic interplay between the techniques, and the fusion demonstrates
"better-than-both-worlds" precision.Comment: Proceedings of the 17th ACM SIGPLAN International Conference on
Functional Programming, 2012, AC
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