24 research outputs found
Commutative Data Automata
Formalisms over infinite alphabets have recently received much focus in the community of the-oretical computer science. Data automata is a formal model for words over infinite alphabets proposed by Bojanczyk, Muscholl, Schwentick et. al. in 2006. A data automaton consists of two parts, a nondeterministic letter-to-letter transducer, and a class condition specified by a finite automaton over the output alphabet of the transducer, which acts as a condition on the subsequence of the outputs of the transducer in every class, namely, in every maximal set of po-sitions with the same data value. It is open whether the nonemptiness of data automata can be decided with elementary complexity. Very recently, a restriction of data automata with element-ary complexity, called weak data automata, was proposed by Kara, Schwentick and Tan and its nonemptiness problem was shown to be in 2-NEXPTIME. In weak data automata, the class condi-tions are specified by some simple constraints on the number of occurrences of labels occurring in every class. The aim of this paper is to demonstrate that the commutativity of class conditions is the genuine reason accounting for the elementary complexity of weak data automata. For this purpose, we define and investigate commutative data automata, which are data automata with class conditions restricted to commutative regular languages. We show that while the express-ive power of commutative data automata is strictly stronger than that of weak data automata, the nonemptiness problem of this model can still be decided with elementary complexity, more precisely, in 3-NEXPTIME. In addition, we extend the results to data ω-words and prove that the nonemptiness of commutative Büchi data automata can be decided in 4-NEXPTIME. We also provide logical characterizations for commutative (Büchi) data automata, similar to those for weak (Büchi) data automata
Single-Use Automata and Transducers for Infinite Alphabets
Our starting point are register automata for data words, in the style of Kaminski and Francez. We study the effects of the single-use restriction, which says that a register is emptied immediately after being used. We show that under the single-use restriction, the theory of automata for data words becomes much more robust. The main results are: (a) five different machine models are equivalent as language acceptors, including one-way and two-way single-use register automata; (b) one can recover some of the algebraic theory of languages over finite alphabets, including a version of the Krohn-Rhodes Theorem; (c) there is also a robust theory of transducers, with four equivalent models, including two-way single use transducers and a variant of streaming string transducers for data words. These results are in contrast with automata for data words without the single-use restriction, where essentially all models are pairwise non-equivalent
History-Register Automata
Programs with dynamic allocation are able to create and use an unbounded
number of fresh resources, such as references, objects, files, etc. We propose
History-Register Automata (HRA), a new automata-theoretic formalism for
modelling such programs. HRAs extend the expressiveness of previous approaches
and bring us to the limits of decidability for reachability checks. The
distinctive feature of our machines is their use of unbounded memory sets
(histories) where input symbols can be selectively stored and compared with
symbols to follow. In addition, stored symbols can be consumed or deleted by
reset. We show that the combination of consumption and reset capabilities
renders the automata powerful enough to imitate counter machines, and yields
closure under all regular operations apart from complementation. We moreover
examine weaker notions of HRAs which strike different balances between
expressiveness and effectiveness.Comment: LMCS (improved version of FoSSaCS
Set Augmented Finite Automata over Infinite Alphabets
A data language is a set of finite words defined on an infinite alphabet.
Data languages are used to express properties associated with data values
(domain defined over a countably infinite set). In this paper, we introduce set
augmented finite automata (SAFA), a new class of automata for expressing data
languages. We investigate the decision problems, closure properties, and
expressiveness of SAFA. We also study the deterministic variant of these
automata.Comment: This is a full version of a paper with the same name accepted in DLT
2023. Other than the full proofs, this paper contains several new results
concerning more closure properties, universality problem, comparison of
expressiveness with register automata and class counter automata, and more
results on deterministic SAF
Algorithmic Analysis of Array-Accessing Programs
For programs whose data variables range over Boolean or finite domains, program verification is decidable, and this forms the basis of recent tools for software model checking. In this paper, we consider algorithmic verification of programs that use Boolean variables, and in addition, access a single array whose length is potentially unbounded, and whose elements range over pairs from Σ × D, where Σ is a finite alphabet and D is a potentially unbounded data domain. We show that the reachability problem, while undecidable in general, is (1) Pspace-complete for programs in which the array-accessing for-loops are not nested, (2) solvable in Ex-pspace for programs with arbitrarily nested loops if array elements range over a finite data domain, and (3) decidable for a restricted class of programs with doubly-nested loops. The third result establishes connections to automata and logics defining languages over data words
26. Theorietag Automaten und Formale Sprachen 23. Jahrestagung Logik in der Informatik: Tagungsband
Der Theorietag ist die Jahrestagung der Fachgruppe Automaten und Formale Sprachen der Gesellschaft für Informatik und fand erstmals 1991 in Magdeburg statt. Seit dem Jahr 1996 wird der Theorietag von einem eintägigen Workshop mit eingeladenen Vorträgen begleitet. Die Jahrestagung der Fachgruppe Logik in der Informatik der Gesellschaft für Informatik fand erstmals 1993 in Leipzig statt. Im Laufe beider Jahrestagungen finden auch die jährliche Fachgruppensitzungen statt. In diesem Jahr wird der Theorietag der Fachgruppe Automaten und Formale Sprachen erstmalig zusammen mit der Jahrestagung der Fachgruppe Logik in der Informatik abgehalten. Organisiert wurde die gemeinsame Veranstaltung von der Arbeitsgruppe Zuverlässige Systeme des Instituts für Informatik an der Christian-Albrechts-Universität Kiel vom 4. bis 7. Oktober im Tagungshotel Tannenfelde bei Neumünster. Während des Tre↵ens wird ein Workshop für alle Interessierten statt finden. In Tannenfelde werden • Christoph Löding (Aachen) • Tomás Masopust (Dresden) • Henning Schnoor (Kiel) • Nicole Schweikardt (Berlin) • Georg Zetzsche (Paris) eingeladene Vorträge zu ihrer aktuellen Arbeit halten. Darüber hinaus werden 26 Vorträge von Teilnehmern und Teilnehmerinnen gehalten, 17 auf dem Theorietag Automaten und formale Sprachen und neun auf der Jahrestagung Logik in der Informatik. Der vorliegende Band enthält Kurzfassungen aller Beiträge. Wir danken der Gesellschaft für Informatik, der Christian-Albrechts-Universität zu Kiel und dem Tagungshotel Tannenfelde für die Unterstützung dieses Theorietags. Ein besonderer Dank geht an das Organisationsteam: Maike Bradler, Philipp Sieweck, Joel Day. Kiel, Oktober 2016 Florin Manea, Dirk Nowotka und Thomas Wilk
Querying graphs with data
Graph data is becoming more and more pervasive. Indeed, services such as Social Networks
or the Semantic Web can no longer rely on the traditional relational model, as its structure
is somewhat too rigid for the applications they have in mind. For this reason we have seen a
continuous shift towards more non-standard models. First it was the semi-structured data in the
1990s and XML in 2000s, but even such models seem to be too restrictive for new applications
that require navigational properties naturally modelled by graphs. Social networks fit into the
graph model by their very design: users are nodes and their connections are specified by graph
edges. The W3C committee, on the other hand, describes RDF, the model underlying the
Semantic Web, by using graphs. The situation is quite similar with crime detection networks
and tracking workflow provenance, namely they all have graphs inbuilt into their definition.
With pervasiveness of graph data the important question of querying and maintaining it has
emerged as one of the main priorities, both in theoretical and applied sense. Currently there
seem to be two approaches to handling such data. On the one hand, to extract the actual data,
practitioners use traditional relational languages that completely disregard various navigational
patterns connecting the data. What makes this data interesting in modern applications, however,
is precisely its ability to compactly represent intricate topological properties that envelop the
data. To overcome this issue several languages that allow querying graph topology have been
proposed and extensively studied. The problem with these languages is that they concentrate
on navigation only, thus disregarding the data that is actually stored in the database.
What we propose in this thesis is the ability to do both. Namely, we will study how query
languages can be designed to allow specifying not only how the data is connected, but also how
data changes along paths and patterns connecting it. To this end we will develop several query
languages and show how adding different data manipulation capabilities and different navigational
features affects the complexity of main reasoning tasks. The story here is somewhat
similar to the early success of the relational data model, where theoretical considerations led
to a better understanding of what makes certain tasks more challenging than others. Here we
aim for languages that are both efficient and capable of expressing a wide variety of queries of
interest to several groups of practitioners. To do so we will analyse how different requirements
affect the language at hand and at the end provide a good base of primitives whose inclusion
into a language should be considered, based on the applications one has in mind. Namely,
we consider how adding a specific operation, mechanism, or capability to the language affects
practical tasks that such an addition plans to tackle. In the end we arrive at several languages,
all of them with their pros and cons, giving us a good overview of how specific capabilities of
the language affect the design goals, thus providing a sound basis for practitioners to choose
from, based on their requirements
Fault tolerance issues in nanoelectronics
The astonishing success story of microelectronics cannot go on indefinitely. In fact, once
devices reach the few-atom scale (nanoelectronics), transient quantum effects are expected
to impair their behaviour. Fault tolerant techniques will then be required. The aim of this
thesis is to investigate the problem of transient errors in nanoelectronic devices. Transient
error rates for a selection of nanoelectronic gates, based upon quantum cellular automata
and single electron devices, in which the electrostatic interaction between electrons is used
to create Boolean circuits, are estimated. On the bases of such results, various fault tolerant
solutions are proposed, for both logic and memory nanochips. As for logic chips, traditional
techniques are found to be unsuitable. A new technique, in which the voting approach of
triple modular redundancy (TMR) is extended by cascading TMR units composed of
nanogate clusters, is proposed and generalised to other voting approaches. For memory
chips, an error correcting code approach is found to be suitable. Various codes are
considered and a lookup table approach is proposed for encoding and decoding. We are
then able to give estimations for the redundancy level to be provided on nanochips, so as to
make their mean time between failures acceptable. It is found that, for logic chips, space
redundancies up to a few tens are required, if mean times between failures have to be of the
order of a few years. Space redundancy can also be traded for time redundancy. As for
memory chips, mean times between failures of the order of a few years are found to imply
both space and time redundancies of the order of ten
Metric propositional neighborhood logic with an equivalence relation
The propositional interval logic of temporal neighborhood (PNL for short) features two modalities that make it possible to access intervals adjacent to the right (modality \u27e8 A\u27e9) and to the left (modality \u27e8 A\uaf \u27e9) of the current interval. PNL stands at a central position in the realm of interval temporal logics, as it is expressive enough to encode meaningful temporal conditions and decidable (undecidability rules over interval temporal logics, while PNL is NEXPTIME-complete). Moreover, it is expressively complete with respect to the two-variable fragment of first-order logic extended with a linear order FO 2[<]. Various extensions of PNL have been studied in the literature, including metric, hybrid, and first-order ones. Here, we study the effects of the addition of an equivalence relation 3c to Metric PNL (MPNL 3c). We first show that the finite satisfiability problem for PNL extended with 3c is still NEXPTIME-complete. Then, we prove that the same problem for MPNL 3c can be reduced to the decidable 0\u20130 reachability problem for vector addition systems and vice versa (EXPSPACE-hardness immediately follows)