Showing papers on "Denotational semantics published in 2021"

Conceptual Schema Optimisation - Database Optimisation before sliding down the Waterfall.

Abstract: In this article we discuss an approach to database optimisation in which a conceptual schema is optimised by applying a sequence of transformations. By performing these optimisations on the conceptual schema, a large part of the database optimisation can be done before actually sliding down the software development waterfall. When optimising schemas, one would like to preserve some level of equivalence between the schemas before and after a transformation. We distinguish between two classes of equivalence, one based on the mathematical semantics of the conceptual schemas, and one on conceptual preference by humans. As a medium for the schema transformations we use the universe of all (correct) conceptual schemas. A schema transformation process can then be seen as a journey (a schema- time worm) within this universe. The underlying theory is conveyed intuitively with sample transformations, and formalised within the framework of Object-Role Modelling. A metalanguage is introduced for the specication of transformations, and more importantly their semantics. While the discussion focusses on the data perspective, the approach has a high level of generality and is extensible to process and behaviour perspectives.

Commutative monads for probabilistic programming languages

Abstract: A long-standing open problem in the semantics of programming languages supporting probabilistic choice is to find a commutative monad for probability on the category DCPO. In this paper we present three such monads and a general construction for finding even more. We show how to use these monads to provide a sound and adequate denotational semantics for the Probabilistic FixPoint Calculus (PFPC) – a call-by-value simply-typed lambda calculus with mixed-variance recursive types, term recursion and probabilistic choice. We also show that in the special case of continuous dcpo’s, all three monads coincide with the valuations monad of Jones, and we fully characterise the induced Eilenberg-Moore categories by showing that they are all isomorphic to the category of continuous Kegelspitzen of Keimel and Plotkin.

On generalized metric spaces for the simply typed lambda-calculus

Abstract: Generalized metrics, arising from Lawvere’s view of metric spaces as enriched categories, have been widely applied in denotational semantics as a way to measure to which extent two programs behave in a similar, although non equivalent, way. However, the application of generalized metrics to higher-order languages like the simply typed lambda calculus has so far proved unsatisfactory. In this paper we investigate a new approach to the construction of cartesian closed categories of generalized metric spaces. Our starting point is a quantitative semantics based on a generalization of usual logical relations. Within this setting, we show that several families of generalized metrics provide ways to extend the Euclidean metric to all higher-order types.

Categorifying Non-Idempotent Intersection Types

Abstract: Non-idempotent intersection types can be seen as a syntactic presentation of a well-known denotational semantics for the lambda-calculus, the category of sets and relations Building on previous work, we present a categorification of this line of thought in the framework of the bang calculus, an untyped version of Levy’s call-by-push-value We define a bicategorical model for the bang calculus, whose syntactic counterpart is a suitable category of types In the framework of distributors, we introduce intersection type distributors, a bicategorical proof relevant refinement of relational semantics Finally, we prove that intersection type distributors characterize normalization at depth 0

Probabilistic programming semantics for name generation

Abstract: We make a formal analogy between random sampling and fresh name generation. We show that quasi-Borel spaces, a model for probabilistic programming, can soundly interpret the ν-calculus, a calculus for name generation. Moreover, we prove that this semantics is fully abstract up to first-order types. This is surprising for an ‘off-the-shelf’ model, and requires a novel analysis of probability distributions on function spaces. Our tools are diverse and include descriptive set theory and normal forms for the ν-calculus.

Commutative Monads for Probabilistic Programming Languages

Abstract: A long-standing open problem in the semantics of programming languages supporting probabilistic choice is to find a commutative monad for probability on the category DCPO. In this paper we present three such monads and a general construction for finding even more. We show how to use these monads to provide a sound and adequate denotational semantics for the Probabilistic FixPoint Calculus (PFPC) -- a call-by-value simply-typed lambda calculus with mixed-variance recursive types, term recursion and probabilistic choice. We also show that in the special case where we consider continuous dcpo's, then all three monads coincide with the valuations monad of Jones and we fully characterise the induced Eilenberg-Moore categories by showing that they are all isomorphic to the category of continuous Kegelspitzen of Keimel and Plotkin.

First-Order Logic in Finite Domains: Where Semantic Evaluation Competes with SMT Solving

Abstract: In this paper, we compare two alternative mechanisms for deciding the validity of first-order formulas over finite domains supported by the mathematical model checker RISCAL: first, the original approach of semantic evaluation (based on an implementation of the denotational semantics of the RISCAL language) and, second, the later approach of SMT solving (based on satisfiability preserving translations of RISCAL formulas to SMT-LIB formulas as inputs for SMT solvers). After a short presentation of the two approaches and a discussion of their fundamental pros and cons, we quantitatively evaluate them, both by a set of artificial benchmarks and by a set of benchmarks taken from real-life applications of RISCAL; for this, we apply the state-of-the-art SMT solvers Boolector, CVC4, Yices, and Z3. Our benchmarks demonstrate that (while SMT solving generally vastly outperforms semantic evaluation), the various SMT solvers exhibit great performance differences. More important, we identify classes of formulas where semantic evaluation is able to compete with (or even outperform) satisfiability solving, outlining some room for improvements in the translation of RISCAL formulas to SMT-LIB formulas as well as in the current SMT technology.

Implementing QVT-R via semantic interpretation in UML-RSDS

Abstract: The QVT-Relations (QVT-R) model transformation language is an OMG standard notation for model transformation specification. It is highly declarative and supports (in principle) bidirectional (bx) transformation specification. However, there are many unclear or unsatisfactory aspects to its semantics, which is not precisely defined in the standard. UML-RSDS is an executable subset of UML and OCL. It has a precise mathematical semantics and criteria for ensuring correctness of applications (including model transformations) by construction. There is extensive tool support for verification and for production of 3GL code in multiple languages (Java, C#, C++, C, Swift and Python). In this paper, we define a translation from QVT-R into UML-RSDS, which provides a logically oriented semantics for QVT-R, aligned with the RelToCore mapping semantics in the QVT standard. The translation includes variation points to enable specialised semantics to be selected in particular transformation cases. The translation provides a basis for verification and static analysis of QVT-R specifications and also enables the production of efficient code implementations of QVT-R specifications. We evaluate the approach by applying it to solve benchmark examples of bx.

First-Order Logic in Finite Domains: Where Semantic Evaluation Competes with SMT Solving

Abstract: In this paper, we compare two alternative mechanisms for deciding the validity of first-order formulas over finite domains supported by the mathematical model checker RISCAL: first, the original approach of semantic evaluation (based on an implementation of the denotational semantics of the RISCAL language) and, second, the later approach of SMT solving (based on satisfiability preserving translations of RISCAL formulas to SMT-LIB formulas as inputs for SMT solvers). After a short presentation of the two approaches and a discussion of their fundamental pros and cons, we quantitatively evaluate them, both by a set of artificial benchmarks and by a set of benchmarks taken from real-life applications of RISCAL; for this, we apply the state-of-the-art SMT solvers Boolector, CVC4, Yices, and Z3. Our benchmarks demonstrate that (while SMT solving generally vastly outperforms semantic evaluation), the various SMT solvers exhibit great performance differences. More important, we identify classes of formulas where semantic evaluation is able to compete with (or even outperform) satisfiability solving, outlining some room for improvements in the translation of RISCAL formulas to SMT-LIB formulas as well as in the current SMT technology.

Towards a Denotational Semantics for Proofs in Constructive Modal Logic.

Abstract: In this paper we provide two new semantics for proofs in the constructive modal logics CK and CD. The first semantics is given by extending the syntax of combinatorial proofs for propositional intuitionistic logic, in which proofs are factorised in a linear fragment (arena net) and a parallel weakening-contraction fragment (skew fibration). In particular we provide an encoding of modal formulas by means of directed graphs (modal arenas), and an encoding of linear proofs as modal arenas equipped with vertex partitions satisfying topological criteria. The second semantics is given by means of winning innocent strategies of a two-player game over modal arenas. This is given by extending the Heijltjes-Hughes-Strasburger correspondence between intuitionistic combinatorial proofs and winning innocent strategies in a Hyland-Ong arena. Using our first result, we provide a characterisation of winning strategies for games on a modal arena corresponding to proofs with modalities.

Fixed Point Theory in Partial Metric Spaces

Abstract: In 1992 Matthews [11] introduced the notion of a partial metric space as a part of the study of denotational semantics of dataflow networks. The main difference comparing to the standard metric is that the self-distance of an arbitrary point need not be equal to zero. This notion was originally motivated by the experience of computer science. The authors showed how a mathematics of nonzero self-distance for metric spaces has been established, and leads to interesting research into the foundations of topology [5], [9]. Many authors studied partial metric spaces and their topological properties, as well as fixed point resultsWe begin with the definition of a partial metric space by Matthews [11] as follows:

Verification of Distributed Quantum Programs.

Abstract: Distributed quantum systems and especially the Quantum Internet have the ever-increasing potential to fully demonstrate the power of quantum computation. This is particularly true given that developing a general-purpose quantum computer is much more difficult than connecting many small quantum devices. One major challenge of implementing distributed quantum systems is programming them and verifying their correctness. In this paper, we propose a CSP-like distributed programming language to facilitate the specification and verification of such systems. After presenting its operational and denotational semantics, we develop a Hoare-style logic for distributed quantum programs and establish its soundness and (relative) completeness with respect to both partial and total correctness. The effectiveness of the logic is demonstrated by its applications in the verification of quantum teleportation and local implementation of non-local CNOT gates, two important algorithms widely used in distributed quantum systems.

Denotational semantics of channel mobility in UTP-CSP

Abstract: In this paper, we present the denotational semantics for channel mobility in the Unifying Theories of Programming (UTP) semantics framework. The basis for the model is the UTP theory of reactive processes, precisely, the UTP semantics for Communicating Sequential Processes (CSP), which is extended to allow the mobility of channels—the set of channels that a process can use for communication (its interface), originally static or constant (set during the process's definition), is now made dynamic or variable: it can change during the process's execution. A channel is thus moved around by communicating it via other channels and then allowing the receiving process to extend its interface with the received channel. We introduce a new concept, the capability of a process, which allows separating the ownership of channels from the knowledge of their existence. Mobile processes are then defined as having a static capability and a dynamic interface. Operations of a mobile telecommunications network, e.g., handover, load balancing, are used to illustrate the semantics. We redefine CSP operators and in particular provide the first semantics for the renaming and hiding operators in the context of channel mobility.

Semantics for Variational Quantum Programming.

Abstract: We consider a programming language that can manipulate both classical and quantum information. Our language is type-safe and designed for variational quantum programming, which is a hybrid classical-quantum computational paradigm. The classical subsystem of the language is the Probabilistic FixPoint Calculus (PFPC), which is a lambda calculus with mixed-variance recursive types, term recursion and probabilistic choice. The quantum subsystem is a first-order linear type system that can manipulate quantum information. The two subsystems are related by mixed classical/quantum terms that specify how classical probabilistic effects are induced by quantum measurements, and conversely, how classical (probabilistic) programs can influence the quantum dynamics. We also describe a sound and computationally adequate denotational semantics for the language. Classical probabilistic effects are interpreted using a recently-described commutative probabilistic monad on DCPO. Quantum effects and resources are interpreted in a category of von Neumann algebras that we show is enriched over (continuous) domains. This strong sense of enrichment allows us to develop novel semantic methods that we use to interpret the relationship between the quantum and classical probabilistic effects. By doing so we provide the first denotational analysis that relates models of classical probabilistic programming to models of quantum programming.

Semantic Bounds and Strong Call-by-Value Normalization.

Abstract: This paper explores two topics at once: the use of denotational semantics to bound the evaluation length of functional programs, and the semantics of strong (that is, possibly under abstractions) call-by-value evaluation. About the first, we analyze de Carvalho's seminal use of relational semantics for bounding the evaluation length of lambda-terms, starting from the presentation of the semantics as an intersection types system. We focus on the part of his work which is usually neglected in its many recent adaptations, despite being probably the conceptually deeper one: how to transfer the bounding power from the type system to the relational semantics itself. We dissect this result and re-understand it via the isolation of a simpler size representation property. About the second, we use relational semantics to develop a semantical study of strong call-by-value evaluation, which is both a delicate and neglected topic. We give a semantic characterization of terms normalizable with respect to strong evaluation, providing in particular the first result of adequacy with respect to strong call-by-value. Moreover, we extract bounds about strong evaluation from both the type systems and the relational semantics. Essentially, we use strong call-by-value to revisit de Carvalho's semantic bounds, and de Carvalho's technique to provide semantical foundations for strong call-by-value.

Smart choices and the selection monad

Abstract: Describing systems in terms of choices and their resulting costs and rewards promises to free algorithm designers and programmers from specifying how to make those choices. In implementations, the choices can be realized by optimization or machine-learning methods. We study this approach from a programming-language perspective. We define a small language that supports decision-making abstraction, rewards, and probabilities. We give a globally optimizing operational semantics, and, using the selection monad for decision-making, three denotational semantics with auxiliary monads for reward and probability; the three model various correlations between returned values and expected rewards. We show the two kinds of semantics coincide by proving adequacy theorems; we show that observational equivalence is characterized by semantic equality (at basic types) by proving full abstraction theorems; and we discuss program equations.

A denotational semantics of a concatenative/compositional programming language

Abstract: A distinctive feature of concatenative languages is that a concatenation of their programs corresponds to a composition of meaning functions of these programs. At first programming in such languages may resemble assembly language programming. In spite of this, they also exhibit many similarities to high-level functional programming languages. We start our presentation with the definition of the language syntax. The main part of the paper consists of the definition of a meaning of programs in the language. To do this we employ a well-known method based on denotational semantics. We also informally introduce the language and its meaning as well as present its background and provide motivation for the work. Our exposition is accompanied by many examples and in the last part of the paper, we also discuss various language extensions and identify several proposals for further research.

Denotational Semantics for Languages of Epistemic Grounding Based on Prawitz’s Theory of Grounds

Abstract: We outline a class of term-languages for epistemic grounding inspired by Prawitz’s theory of grounds. We show how denotation functions can be defined over these languages, relating terms to proof-objects built up of constructive functions. We discuss certain properties that the languages may enjoy both individually (canonical closure and universal denotation) and with respect to their expansions (primitive/non-primitive and conservative/non-conservative expansions). Finally, we provide a ground-theoretic version of Prawitz’s completeness conjecture, and adapt to our framework a refutation of this conjecture due to Piecha and Schroeder-Heister.

Trace Semantics and Algebraic Laws for MCA ARMv8 Architecture Based on UTP

Abstract: Hardware architectures like x86 and ARM provide relaxed memory models for efficiency reasons. The revised ARMv8 architecture is multi-copy atomic (MCA), which brings relaxed-memory effects through thread-local out-of-order, speculative execution and thread-local buffering. In this paper, we investigate the trace semantics for the MCA ARMv8 architecture, acting in the denotational semantics style based on Unifying Theories of Programming (UTP). In order to present all the valid execution results including reorderings of any program under ARMv8, a trace expressed as a sequence of snapshots is introduced, and it relies heavily on various dependencies. The snapshots record the change of variables of different types of actions. We also study the algebraic laws for MCA ARMv8, including a set of sequential and parallel expansion laws. The concept of head normal form is explored for each program, and every program is described in the form of guarded choice which can model the execution of a program with reorderings. Therefore, the linearizability for ARMv8 is supported.

On Generalized Metric Spaces for the Simply Typed Lambda-Calculus (Extended Version).

Abstract: Generalized metrics, arising from Lawvere's view of metric spaces as enriched categories, have been widely applied in denotational semantics as a way to measure to which extent two programs behave in a similar, although non equivalent, way. However, the application of generalized metrics to higher-order languages like the simply typed lambda calculus has so far proved unsatisfactory. In this paper we investigate a new approach to the construction of cartesian closed categories of generalized metric spaces. Our starting point is a quantitative semantics based on a generalization of usual logical relations. Within this setting, we show that several families of generalized metrics provide ways to extend the Euclidean metric to all higher-order types.

A process calculus BigrTiMo of mobile systems and its formal semantics

Abstract: In this paper, we present a process calculus called BigrTiMo that combines the rTiMo calculus and the Bigraph model. BigrTiMo calculus is capable of specifying a rich variety of properties for structure-aware mobile systems. Compared with rTiMo, our BigrTiMo calculus can specify not only time, mobility and local communication, but also remote communication. We then investigate the operational semantics of the BigrTiMo calculus and develop an executable formal specification of our BigrTiMo calculus in a declarative language called Maude. In addition, we verify safety properties and liveness properties of the mobile systems described by BigrTiMo using state exploration and LTL model checking in Maude. Based on Hoare and He's Unifying Theories of Programming (UTP), we study the semantic foundation of this highly expressive modelling language and propose a denotational semantic model and a set of algebraic laws for it. The semantic model in this paper covers time, location, communication and global shared variable at the same time. We also demonstrate the proofs of some algebraic laws based on our denotational semantics. Moreover, we explore how the algebraic semantics relates with the operational semantics and denotational semantics, which is conducted by the study of deriving the operational semantics and denotational semantics from algebraic semantics. We prove the equivalence between the derived transition system (e.g., the operational semantics) and the derivation strategy, which indicates that the operational semantics is sound and complete.

Greatest HITs: Higher inductive types in coinductive definitions via induction under clocks

Abstract: Guarded recursion is a powerful modal approach to recursion that can be seen as an abstract form of step- indexing. It is currently used extensively in separation logic to model programming languages with advanced features by solving domain equations also with negative occurrences. In its multi-clocked version, guarded recursion can also be used to program with and reason about coinductive types, encoding the productivity condition required for recursive definitions in types. This paper presents the first type theory combining multi-clocked guarded recursion with the features of Cubical Type Theory, as well as a denotational semantics. Using the combination of Higher Inductive Types (HITs) and guarded recursion allows for simple programming and reasoning about coinductive types that are traditionally hard to represent in type theory, such as the type of finitely branching labelled transition systems. For example, our results imply that bisimilarity for these imply path equality, and so proofs can be transported along bisimilarity proofs. Among our technical contributions is a new principle of induction under clocks. This allows universal quantification over clocks to commute with HITs up to equivalence of types, and is crucial for the encoding of coinductive types. Such commutativity requirements have been formulated for inductive types as axioms in previous type theories with multi-clocked guarded recursion, but our present formulation as an induction principle allows for the formulation of general computation rules.

Disentangling Parallelism and Interference in Game Semantics

Abstract: Game semantics is a denotational semantics presenting compositionally the computational behaviour of various kinds of effectful programs. One of its celebrated achievement is to have obtained full abstraction results for programming languages with a variety of computational effects, in a single framework. This is known as the semantic cube or Abramsky's cube, which for sequential deterministic programs establishes a correspondence between certain conditions on strategies ("innocence", "well-bracketing", "visibility") and the absence of matching computational effects. Outside of the sequential deterministic realm, there are still a wealth of game semantics-based full abstraction results; but they no longer fit in a unified canvas. In particular, Ghica and Murawski's fully abstract model for shared state concurrency (IA) does not have a matching notion of pure parallel program-we say that parallelism and interference (i.e. state plus semaphores) are entangled. In this paper we construct a causal version of Ghica and Murawski's model, also fully abstract for IA. We provide compositional conditions parallel innocence and sequentiality, respectively banning interference and parallelism, and leading to four full abstraction results. To our knowledge, this is the first extension of Abramsky's semantic cube programme beyond the sequential deterministic world.

Symmetries in Reversible Programming: From Symmetric Rig Groupoids to Reversible Programming Languages.

Abstract: The $\mathit{\Pi}$ family of reversible programming languages for boolean circuits is presented as a syntax of combinators witnessing type isomorphisms of algebraic datatypes. In this paper, we give a denotational semantics for this language, using the language of weak groupoids \`a la Homotopy Type Theory, and show how to derive an equational theory for it, presented by 2-combinators witnessing equivalences of reversible circuits. We establish a correspondence between the syntactic groupoid of the language and a formally presented univalent subuniverse of finite types. The correspondence relates 1-combinators to 1-paths, and 2-combinators to 2-paths in the universe, which is shown to be sound and complete for both levels, establishing full abstraction and adequacy. We extend the already established Curry-Howard correspondence for $\mathit{\Pi}$ to a Curry-Howard-Lambek correspondence between Reversible Logic, Reversible Programming Languages, and Symmetric Rig Groupoids, by showing that the syntax of $\mathit{\Pi}$ is presented by the free symmetric rig groupoid, given by finite sets and permutations. Our proof uses techniques from the theory of group presentations and rewriting systems to solve the word problem for symmetric groups. Using the formalisation of our results, we show how to perform normalisation-by-evaluation, verification, and synthesis of reversible logic gates, motivated by examples from quantum computing.

Formal Semantics of a Classical-Quantum Language.

Abstract: We investigate the formal semantics of a simple imperative language that has both classical and quantum constructs. More specifically, we provide an operational semantics, a denotational semantics and two Hoare-style proof systems: an abstract one and a concrete one. The two proof systems are satisfaction-based, as inspired by the program logics of Barthe et al for probabilistic programs. The abstract proof system turns out to be sound and relatively complete, while the concrete one is sound only.

The Central Valuations Monad.

Abstract: We give a commutative valuations monad Z on the category DCPO of dcpo's and Scott-continuous functions. Compared to the commutative valuations monads given in [Jia et al., 2021], our new monad Z is larger and it contains all push-forward images of valuations on the unit interval [0,1] along lower semi-continuous maps. We believe that this new monad will be useful in giving domain-theoretic denotational semantics for statistical programming languages with continuous probabilistic choice.