Determinization of weighted finite automata over strong bimonoids

We consider weighted finite automata over strong bimonoids, where these weight structures can be considered as semirings which might lack distributivity. Then, in general, the well-known run semantics, initial algebra semantics, and transition semantics of an automaton are different. We prove an algebraic characterization for the initial algebra semantics in terms of stable finitely generated submonoids. Moreover, for a given weighted finite automaton we construct the Nerode automaton and Myhill automaton, both being crisp-deterministic, which are equivalent to the original automaton with respect to the initial algebra semantics, respectively, the transition semantics. We prove necessary and sufficient conditions under which the Nerode automaton and the Myhill automaton are finite, and we provide efficient algorithms for their construction. Also, for a given weighted finite automaton, we show sufficient conditions under which a given weighted finite automaton can be determinized preserving its run semantics.     

Determinization of fuzzy automata with membership values in complete residuated lattices

In this paper we introduce a new method for determinization of fuzzy finite automata with membership values in complete residuated lattices. In comparison with the previous methods, developed by Bělohlávek [R. Bělohlávek, Determinism and fuzzy automata, Information Sciences 143 (2002), 205-209] and Li and Pedrycz [Y.M. Li, W. Pedrycz, Fuzzy finite automata and fuzzy regular expressions with membership values in lattice ordered monoids, Fuzzy Sets and Systems 156 (2005), 68-92], our method always gives a smaller automaton, and in some cases, when the previous methods result in infinite automata, our method can result in a finite one. We also show that determinization of fuzzy automata is closely related to fuzzy right congruences on a free monoid and fuzzy automata associated with them, and in particular, to the concept of the Nerode’s fuzzy right congruence of a fuzzy automaton, which we introduce and study here.     

An Approximate Determinization Algorithm for Weighted Finite-State Automata

Nondeterministic weighted finite-state automata are a key abstraction in automatic speech recognition systems. The efficiency of automatic speech recognition depends directly on the sizes of these automata and the degree of nondeterminism present, so recent research has studied ways to determinize and minimize them, using analogues of classical automata determinization and minimization. Although, as we describe here, determinization can in the worst case cause poly-exponential blowup in the number of states of a weighted finite-state automaton, in practice it is remarkably successful. In extensive experiments in automatic speech recognition systems, deterministic weighted finite-state automata tend to be smaller than the corresponding nondeterministic inputs. Our observations show that these size reductions depend critically on the interplay between weights and topology in nondeterministic weighted finite-state automata. We exploit these observations to design a new approximate determinization algorithm, which produces a deterministic weighted finite-state automaton that preserves the strings of a weighted language but not necessarily their weights. We apply our algorithm to two different types of weighted finite-state automata that occur in automatic speech recognition systems and in each case provide extensive experimental results showing that, compared with current techniques, we achieve significant size reductions without affecting performance. In particular, for a standard test bed, we can reduce automatic speech recognition memory requirements by 25—35\percent with negligible effects on recognition time and accuracy. Received March 31, 1998; revised January 29, 1999.     

Compact and fast algorithms for safe regular expression search

This article describes an improvement of the brute force determinization algorithm in the case of homogeneous nondeterministic finite automata (NFAs), as well as its application to pattern matching. Brute force determinization with limited memory may provide a partially determinized automaton, but its bounded complexity makes it a safe procedure contrary to the classical subset construction. Actually, our algorithm is inspired by both recent results of Champarnaud concerning the subset automaton of a homogeneous NFA and the algorithm recently designed by Navarro and Raffinot to implement the brute force determinization of the Glushkov NFA of a regular pattern. Our algorithm significantly improves Navarro–Raffinot's one since it has an average exponentially smaller memory requirement for a given level of determinization, which, considering a bounded memory, implies a quadratically smaller parsing time. This algorithm has been implemented in CCP software (http://www.univ-rouen.fr/LIFAR/aia/ccp.html). Tests have been carried out in the field of text processing and biology. Experimental results are reported.     

A tighter analysis of Piterman's Büchi determinization

Determinization and complementation are two fundamental problems in automata theory. Very recently, Piterman improved Safra's determinization and, presented a new construction which produces parity automata with a smaller size. We give a tighter analysis on that determinization construction and show that the number of states of the resulting deterministic automaton is bounded by 2n²(n!) instead of 2n!nn.     

Bounded determinization of timed automata with silent transitions

Deterministic timed automata are strictly less expressive than their non-deterministic counterparts, which are again less expressive than those with silent transitions. As a consequence, timed automata are in general non-determinizable. This is unfortunate since deterministic automata play a major role in model-based testing, observability and implementability. However, by bounding the length of the traces in the automaton, effective determinization becomes possible. We propose a novel procedure for bounded determinization of timed automata. The procedure unfolds the automata to bounded trees, removes all silent transitions and determinizes via disjunction of guards. The proposed algorithms are optimized to the bounded setting and thus are more efficient and can handle a larger class of timed automata than the general algorithms. We show how to apply the approach in a fault-based test-case generation method, called model-based mutation testing, that was previously restricted to deterministic timed automata. The approach is implemented in a prototype tool and evaluated on several scientific examples and one industrial case study. To our best knowledge, this is the first implementation of this type of procedure for timed automata.     

Reduction of Timed Hybrid Systems

We consider a class of hybrid dynamical systems and obtain conditions under which the behavior of these systems can be reduced to a finite state automaton. Specifically, we consider timed automata with more general enabling regions coupling the continuous and discrete dynamics than those previously considered. We provide a necessary condition for the existence of a finite state reduction, together with examples showing that this condition is not sufficient. We then give two sufficient conditions that provide a large class of systems with general enabling regions which admit finite reductions.     

有限布尔代数上的线性自动机

自动机理论是计算机科学理论的重要组成部分。论文研究了布尔代数上的线性自动机,证明了任意一个线性有限自动机是函数布尔代数上的一个内动机。定出了有限布尔代数上的一类可逆线性内动机,给出并证明了有限布尔代数上内动机图型为下向森林的充分必要条件,给出了树型内动机中每一层节点数的计算公式,进而证明了有限布尔代数上的非可逆内动机图型为恰等叉支下向树的充分必要条件。     

Fast construction of space‐optimized recursive automaton

Finite‐state automata are important components in information retrieval and natural language processing software. A recursive automaton is the most compact representation of the acyclic deterministic finite‐state automata. It is based on merging not only the equivalent states but also the identical substructures in an automaton. The LZ trie variant is the state‐of‐the‐art in automata compression regarding space, but the time needed for its construction was, until now, quadratic, which has made it impractical for large inputs. In this paper, we present the first algorithm for LZ trie construction that runs in effectively linear time thereby making it an attractive choice for finite‐state automata implementation. We achieve this goal by adding a new functionality to the enhanced suffix array data structure. We present two variants of the construction procedure – an optimal method regarding the final size and a method that sacrifices some compression for low intermediate memory usage. We have made the implementation of our algorithms available in an open source software package LzLex.Copyright © 2014 John Wiley & Sons, Ltd.     

Backward and forward bisimulation minimization of tree automata

We improve on an existing [P.A. Abdulla, J. Högberg, L. Kaati, Bisimulation minimization of tree automata, International Journal of Foundations of Computer Science 18(4) (2007) 699–713] bisimulation minimization algorithm for finite-state tree automata by introducing backward and forward bisimulation and developing minimization algorithms for them. Minimization via forward bisimulation is also effective on deterministic tree automata, faster than the previous algorithm, and yields the minimal equivalent deterministic tree automaton. Minimization via backward bisimulation generalizes the previous algorithm and can yield smaller automata but is just as fast. We demonstrate implementations of these algorithms on a typical task in natural language processing.     

Robust safety of timed automata

Timed automata are governed by an idealized semantics that assumes a perfectly precise behavior of the clocks. The traditional semantics is not robust because the slightest perturbation in the timing of actions may lead to completely different behaviors of the automaton. Following several recent works, we consider a relaxation of this semantics, in which guards on transitions are widened by Δ>0 and clocks can drift by ε>0. The relaxed semantics encompasses the imprecisions that are inevitably present in an implementation of a timed automaton, due to the finite precision of digital clocks. We solve the safety verification problem for this robust semantics: given a timed automaton and a set of bad states, our algorithm decides if there exist positive values for the parameters Δ and ε such that the timed automaton never enters the bad states under the relaxed semantics.     

Decomposing a kind of weakly invertible finite automata with delay 2

Some properties of a finite automaton composed of two weakly invertible finite automata with delay 1 are given,where each of those two automata has the output set of each state with the same size.And for a weakly invertible finite automaton M with delay 2 satisfying the properties mentioned in this paper,two weakly invertible finite automata with delay 1 are constructed such that M is equivalent to a sub-finite-automaton of the composition of those two.So a method to decompose this a kind of weakly invertible finite automate with delay 2 is presented.     

The concept of duality for automata over a changing alphabet and generation of a free group by such automata

In the paper, we deal with the notion of an automaton over a changing alphabet, which generalizes the concept of a Mealy-type automaton. We modify the methods based on the idea of a dual automaton and its action used by B. Steinberg et al. (2011) and M. Vorobets and Ya. Vorobets (2007, 2010) [16], [17] and [18] and adapt them to automata over a changing alphabet. We show that this modification provides some naturally defined automaton representations of a free nonabelian group by a 2-state automaton over a changing alphabet.     

On groups whose word problem is solved by a˜counter automaton

We prove that a group G has a word problem that is accepted by a deterministic counter automaton with a weak inverse property if and only if G is virtually abelian. We extend this result to larger classes of groups by considering a generalization of finite state automata, counter automata and pushdown automata. Natural corollaries of our general result include a restricted version of Herbst's classification of groups for which the word problem is a one counter language and a new classification of automata that accept context-free word problems.     

Cyclic Check Experiments with Group Automata

A characterization of a cyclic check experiment for a reduced connected finite group automaton is found relative to the class of all the reduced connected finite group automata. On this basis, an algorithm for construction of a cyclic check experiment is proposed. Exact estimates of the multiplicity and minimum length of such an experiment are found. __________ Translated from Kibernetika i Sistemnyi Analiz, No. 3, pp. 32–46, May–June 2005.     

On characteristic sets and degrees of finite automata

The characteristic sets and degrees of finite automata are notions used by Biermann for his finite automaton learner. Some fundamental properties and relations of these notions are considered. A necessary and sufficient condition under which his learner converges to an expected automaton is given.     

On finite automata with limited nondeterminism

We develop a new algorithm for determining if a given nondeterministic finite automaton is limited in nondeterminism. From this, we show that the number of nondeterministic moves of a finite automaton, if limited, is bounded by where is the number of states. If the finite automaton is over a one-letter alphabet, using Gohon's result the number of nondeterministic moves, if limited, is less than . In both cases, we present families of finite automata demonstrating that the upper bounds obtained are almost tight. We also show that the limitedness problem of the number of nondeterministic moves of finite automata is PSPACE-hard. Since the problem is already known to be in PSPACE, it is therefore PSPACE-complete. Received: 14 June 1994 / 3 December 1997     

Temporal determinization of mutating finite automata: Reconstructing or restructuring

A mutating finite automaton (MFA) is a nondeterministic finite automaton (NFA) that changes its morphology over discrete time by a sequence of mutations. This results in a sequence of NFAs, the initial NFA, and one mutated NFA for each mutation. Some application domains, including model-based diagnosis of discrete-event systems in artificial intelligence and model-based testing in software engineering, require temporal determinization of MFAs. Determinizing an MFA temporally means generating a deterministic finite automaton (DFA) that is equivalent to the mutated NFA as soon as a mutation occurs. Since, in computation time, the classical Subset Construction determinization algorithm may be less than optimal when applied to MFAs, a conservative algorithm is proposed, called Subset Restructuring, which, instead of constructing the new DFA from scratch based on the mutated NFA, generates the new DFA by updating the previous DFA based on the mutation occurred. Subset Restructuring is sound and complete, thereby yielding the same DFA generated by Subset Construction. Results from massive experimentation indicate the viability of Subset Restructuring, especially so when large MFAs change by small mutations.     

基于等价关系的有穷自动机最小化方法

主要介绍了有穷自动机的基础知识,研究了有穷自动机的等价性,并在确定型有穷自动机的状态集上引入等价关系,给出了自动机的最小化过程。利用等价归并算法,可以将某一给定的确定型有穷自动机状态集上的等价状态归并掉．生成与其等价的最小化的确定型有穷自动机。