2,089 research outputs found
Families of automata characterizing context-sensitive languages
International audienceIn the hierarchy of infinite graph families, rational graphs are defined by rational transducers with labelled final states. This paper proves that their traces are precisely context-sensitive languages and that this result remains true for synchronized rational graphs
On external presentations of infinite graphs
The vertices of a finite state system are usually a subset of the natural
numbers. Most algorithms relative to these systems only use this fact to select
vertices.
For infinite state systems, however, the situation is different: in
particular, for such systems having a finite description, each state of the
system is a configuration of some machine. Then most algorithmic approaches
rely on the structure of these configurations. Such characterisations are said
internal. In order to apply algorithms detecting a structural property (like
identifying connected components) one may have first to transform the system in
order to fit the description needed for the algorithm. The problem of internal
characterisation is that it hides structural properties, and each solution
becomes ad hoc relatively to the form of the configurations.
On the contrary, external characterisations avoid explicit naming of the
vertices. Such characterisation are mostly defined via graph transformations.
In this paper we present two kind of external characterisations:
deterministic graph rewriting, which in turn characterise regular graphs,
deterministic context-free languages, and rational graphs. Inverse substitution
from a generator (like the complete binary tree) provides characterisation for
prefix-recognizable graphs, the Caucal Hierarchy and rational graphs. We
illustrate how these characterisation provide an efficient tool for the
representation of infinite state systems
Observations on grammar and language families
In this report, we emphasize the differences of grammar families
and their properties versus language families and their
properties. To this end, we investigate grammar families from an
abstract standpoint, developping a new framework of reasoning. In
particular when considering decidability questions, special care
must be taken when trying to use decidability results (which are,
in the first place, properties of grammar families) in order to
establish results (e.g. hierarchy results) on language families.
We illustrate this by inspecting some theorems and their proofs in
the field of regulated rewriting. In this way, we also correct the
formulation of an important theorem of Hinz and Dassow.
As an exercise, we show that there is no `effective\u27 grammatical
characterization of the family of recursive languages. Moreover,
we show how to prove the strictness of the Chomsky hierarchy using
decidability properties only. Most of the material of this report
will be published in `fundamenta informaticae\u27
One-Tape Turing Machine Variants and Language Recognition
We present two restricted versions of one-tape Turing machines. Both
characterize the class of context-free languages. In the first version,
proposed by Hibbard in 1967 and called limited automata, each tape cell can be
rewritten only in the first visits, for a fixed constant .
Furthermore, for deterministic limited automata are equivalent to
deterministic pushdown automata, namely they characterize deterministic
context-free languages. Further restricting the possible operations, we
consider strongly limited automata. These models still characterize
context-free languages. However, the deterministic version is less powerful
than the deterministic version of limited automata. In fact, there exist
deterministic context-free languages that are not accepted by any deterministic
strongly limited automaton.Comment: 20 pages. This article will appear in the Complexity Theory Column of
the September 2015 issue of SIGACT New
Computing with cells: membrane systems - some complexity issues.
Membrane computing is a branch of natural computing which abstracts computing models from the structure and the functioning of the living cell. The main ingredients of membrane systems, called P systems, are (i) the membrane structure, which consists of a hierarchical arrangements of membranes which delimit compartments where (ii) multisets of symbols, called objects, evolve according to (iii) sets of rules which are localised and associated with compartments. By using the rules in a nondeterministic/deterministic maximally parallel manner, transitions between the system configurations can be obtained. A sequence of transitions is a computation of how the system is evolving. Various ways of controlling the transfer of objects from one membrane to another and applying the rules, as well as possibilities to dissolve, divide or create membranes have been studied. Membrane systems have a great potential for implementing massively concurrent systems in an efficient way that would allow us to solve currently intractable problems once future biotechnology gives way to a practical bio-realization. In this paper we survey some interesting and fundamental complexity issues such as universality vs. nonuniversality, determinism vs. nondeterminism, membrane and alphabet size hierarchies, characterizations of context-sensitive languages and other language classes and various notions of parallelism
Deterministic Real-Time Tree-Walking-Storage Automata
We study deterministic tree-walking-storage automata, which are finite-state
devices equipped with a tree-like storage. These automata are generalized stack
automata, where the linear stack storage is replaced by a non-linear tree-like
stack. Therefore, tree-walking-storage automata have the ability to explore the
interior of the tree storage without altering the contents, with the possible
moves of the tree pointer corresponding to those of tree-walking automata. In
addition, a tree-walking-storage automaton can append (push) non-existent
descendants to a tree node and remove (pop) leaves from the tree. Here we are
particularly considering the capacities of deterministic tree-walking-storage
automata working in real time. It is shown that even the non-erasing variant
can accept rather complicated unary languages as, for example, the language of
words whose lengths are powers of two, or the language of words whose lengths
are Fibonacci numbers. Comparing the computational capacities with automata
from the classical automata hierarchy, we derive that the families of languages
accepted by real-time deterministic (non-erasing) tree-walking-storage automata
is located between the regular and the deterministic context-sensitive
languages. There is a context-free language that is not accepted by any
real-time deterministic tree-walking-storage automaton. On the other hand,
these devices accept a unary language in non-erasing mode that cannot be
accepted by any classical stack automaton, even in erasing mode and arbitrary
time. Basic closure properties of the induced families of languages are shown.
In particular, we consider Boolean operations (complementation, union,
intersection) and AFL operations (union, intersection with regular languages,
homomorphism, inverse homomorphism, concatenation, iteration). It turns out
that the two families in question have the same properties and, in particular,
share all but one of these closure properties with the important family of
deterministic context-free languages.Comment: In Proceedings NCMA 2023, arXiv:2309.0733
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