Infinity problems and countability problems for ω-automata

The infinity problem for ω-automata is to decide if the ω-language recognized by a given automaton is infinite; the countability problem is to decide if a given automaton recognizes a countable ω-language. We prove that these problems are NLogspace-complete for (nondeterministic) Büchi, generalized Büchi, Muller, Rabin and parity automata.     

Stuttering-Insensitive Automata for On-the-fly Detection of Livelock Properties

The research examines liveness and progress properties of concurrent systems and their on-the-fly verification. An alternative formalism to Büchi automata, called testing automata, is developed. The basic idea of testing automata is to observe changes in the values of state propositions instead of the values. Therefore, the testing automata are able to accept only stuttering-insensitive languages. Testing automata can accept the same stuttering-insensitive languages as (state-labelled) Büchi automata, and they have at most the same number of states. They are also more often deterministic. Moreover, on-the-fly verification using testing automata can often (but not always) use an algorithm performing only one search in the state space, whereas on-the-fly verification with Büchi automata requires two searches. Experimental results illustrating the benefits of testing automata are presented.     

Efficient approach of translating LTL formulae into Büchi automata

In explicit-state model checking, system properties are typically expressed in linear temporal logic (LTL), and translated into a Büchi automaton (BA) to be checked. In order to improve performance of the conversion algorithm, some model checkers involve the intermediate automata, such as a generalized Büchi automaton (GBA). The de-generalization is a translation from a GBA to a BA. In this paper, we present a conversion algorithm to translate an LTL formula to a BA directly. A labeling, acceptance degree, is presented to record acceptance conditions satisfied in each state and transition. Acceptance degree is a set of U-subformulae or F-subformulae of the given LTL formula. According to the acceptance degree, on-the-fly degeneralization algorithm, which is different from the standard de-generalization algorithm, is conceived and implemented. On-the-fly de-generalization algorithm is carried out during the expansion of the given LTL formula. It is performed in the case of the given LTL formula contains U-subformulae and F-subformulae, that is, the on-the-fly de-generalization algorithm is performed as required. In order to get a more deterministic BA, the shannon expansion is used recursively during expanding LTL formulae. Ordered binary decision diagrams are used to represent the BA and simplify LTL formulae.We compare the conversion algorithm presented in this paper to previousworks, and show that it is more efficient for five families LTL formulae in common use and four sets of random formulae generated by LBTT (an LTL-to-Büchi translator testbench).     

Succinct representation of regular languages by boolean automata

Boolean automata are a generalization of finite automata in the sense that the ‘next state’, i.e. the result of the transition function given a state and a letter, is not just a single state (deterministic automata) or a union of states (nondeterministic automata) but a boolean function of states. Boolean automata accept precisely regular languages; furthermore they correspond in a natural way to certain language equations as well as to sequential networks. We investigate the succinctness of representing regular languages by boolean automata. In particular, we show that for every deterministic automaton A with m states there exists a boolean automaton with [log₂m] states which accepts the reverse of the language accepted by A (m≥1). We also show that for every n≥1 there exists a boolean automation with n states such that the smallest deterministic automaton accepting the same language has 2⁽²ⁿ⁾ states; moreover this holds for an alphabet with only two letters.     

Expressiveness of propositional projection temporal logic with star

This paper investigates the expressiveness of Propositional Projection Temporal Logic with Star (PPTL*). To this end, Büchi automata and ω-regular expressions are first extended as Stutter Büchi Automata (SBA) and Extended Regular Expressions (ERE) to include both finite and infinite strings. Further, by equivalent transformations among PPTL* formulas, SBAs and EREs, PPTL* is proved to represent exactly the full regular language. Moreover, some fragments of PPTL* are characterized, and finally, PPTL* and its fragments are classified into five different language classes.     

LTL is closed under topological closure

We constructively prove that for every LTL formula φ, the smallest safety property containing the property expressed by φ is also expressible in LTL. It immediately follows that LTL admits the safety-liveness decomposition: any property expressed by an LTL formula is equivalent to the intersection of a safety property and a liveness property, both of them expressible in LTL. Our proof is based on constructing a minimal deterministic counter-free Büchi automaton that recognizes the smallest safety property containing the property expressed by φ.     

A complete characterization of deterministic regular liveness properties

Many systems can be modeled formally by nondeterministic Büchi-automata. The complexity of model checking then essentially depends on deciding subset conditions on languages that are recognizable by these automata and that represent the system behavior and the desired properties of the system. The involved complementation process may lead to an exponential blow-up in the size of the automata. We investigate a rich subclass of properties, called deterministic regular liveness properties, for which complementation at most doubles the automaton size if the properties are represented by deterministic Büchi-automata. In this paper, we will present a decomposition theorem for this language class that entails a complete characterization of the deterministic regular liveness properties, and extend an existing incomplete result which then, too, characterizes the deterministic regular liveness properties completely.     

Non-determinism in logic-based languages

The use of non-determinism in logic-based languages is motivated using pragmatic and theoretical considerations. Non-deterministic database queries and updates occur naturally, and there exist non-deterministic implementations of various languages. It is shown that non-determinism resolves some difficulties concerning the expressive power of deterministic languages: there are non-deterministic languages expressing low complexity classes of queries/updates, whereas no such deterministic languages are known. Various mechanisms yielding non-determinism are reviewed. The focus is on two closely related families of non-deterministic languages. The first consists of extensions of Datalog with negations in bodies and/or heads of rules, with non-deterministic fixpoint semantics. The second consists of non-deterministic extensions of first-order logic and fixpoint logics, using thewitness operator. The expressive power of the languages is characterized. In particular, languages expressing exactly the (deterministic and non-deterministic) queries/updates computable in polynomial time are exhibited, whereas it is conjectured that no analogous deterministic language exists. The connection between non-deterministic languages and determinism is also explored. Several problems of practical interest are examined, such as checking (statically or dynamically) if a given program is deterministic, detecting coincidence of deterministic and non-deterministic semantics, and verifying termination for non-deterministic programs.Work supported by the Projet de Recherche Coordonnée BD3.Work supported in part by the National Science Foundation under grants IRI-8816078 and INT-8817874. The work was done in part while the author was visiting INRIA.     

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.     

Tableau-based automata construction for dynamic linear time temporal logic*

We present a tableau-based algorithm for obtaining a Büchi automaton from a formula in Dynamic Linear Time Temporal Logic (DLTL), a logic which extends LTL by indexing the until operator with regular programs. The construction of the states of the automaton is similar to the standard construction for LTL, but a different technique must be used to verify the fulfillment of until formulas. The resulting automaton is a Büchi automaton rather than a generalized one. The construction can be done on-the-fly, while checking for the emptiness of the automaton. We also extend the construction to the Product Version of DLTL.*This research has been partially supported by the project MIUR PRIN 2005 ‘Specification and verification of agent interaction protocols’.     

A characterization of Büchi tree automata

We show that a language of infinite binary trees is definable by a Σ₂-formula of the monadic second order logic of two successors (with no additional symbols) iff it can be accepted by a Büchi automaton. The same result has been obtained by G. Lenzi, but our proof is simpler.     

Memory-efficient algorithms for the verification of temporal properties

This article addresses the problem of designing memory-efficient algorithms for the verification of temporal properties of finite-state programs. Both the programs and their desired temporal properties are modeled as automata on infinite words (Büchi automata). Verification is then reduced to checking the emptiness of the automaton resulting from the product of the program and the property. This problem is usually solved by computing the strongly connected components of the graph representing the product automaton. Here, we present algorithms that solve the emptiness problem without explicitly constructing the strongly connected components of the product graph. By allowing the algorithms to err with some probability, we can implement them with a randomly accessed memory of size O(n) bits, where n is the number of states of the graph, instead of O(n log n) bits that the presently known algorithms require.     

Reactive automata

A reactive automaton has extra links whose role is to change the behaviour of the automaton. We show that these links do not increase the expressiveness of finite automata but that they can be used to reduce dramatically their state number both in the deterministic case and the non-deterministic case.Typical examples of regular expressions associated with deterministic automata of exponential size according to the length of the expression show that reactive links provide an alternative representation of total linear size for the language.     

Deciding word neighborhood with universal neighborhood automata

Given some form of distance between words, a fundamental operation is to decide whether the distance between two given words w and v is within a given bound. In earlier work, we introduced the concept of a universal Levenshtein automaton for a given distance bound n. This deterministic automaton takes as input a sequence χ of bitvectors computed from w and v. The sequence χ is accepted iff the Levenshtein distance between w and v does not exceed n. The automaton is called universal since the same automaton can be used for arbitrary input words w and v, regardless of the underlying input alphabet. Here, we extend this picture. After introducing a large abstract family of generalized word distances, we exactly characterize those members where word neighborhood can be decided using universal neighborhood automata similar to universal Levenshtein automata. Our theoretical results establish several bridges to the theory of synchronized finite-state transducers and dynamic programming. For small neighborhood bounds, universal neighborhood automata can be held in main memory. This leads to very efficient algorithms for the above decision problem. Evaluation results show that these algorithms are much faster than those based on dynamic programming.     

Compositional synthesis of asynchronous automata

Asynchronous automata are a model of communication processes with a control structure distributed on a set P of processes, global initializations and global accepting conditions. The well-known theorem of Zielonka states that they recognize exactly the class of regular Mazurkiewicz trace languages. The corresponding synthesis problem is, given a global specification A of any regular trace language L, to build an asynchronous automaton that recognizes L, automatically. Yet, all such existing constructions are quite involved and yield an explosion of the number of states in each process, which is exponential in both the sizes of A and P. In this paper, we introduce the particular case of distributed asynchronous automata, which require that the initializations and the accepting conditions are distributed as well. We present an original technique based on simple compositions/decompositions of these distributed asynchronous automata that results in the construction of smaller non-deterministic asynchronous automata: now, the number of states in each process is only polynomial in the size of A, but is still exponential in the size of P.     

Infinitary tree languages recognized by ω-automata

We define top-down infinite tree automata (ω-automata) which is an extension of Rabin's automata to infinite Σ-tress. We prove that each ω-automaton can be completed to an equivalent one and that non-deterministic ω-automata have more power than deterministic ω-automata. We study the difference between ω-languages and deterministic ω-languages by using AFL-like operations.     

A computational model for tiling recognizable two-dimensional languages

Tiling systems are a well accepted model to define recognizable two-dimensional languages but they are not an effective device for recognition unless a scanning strategy for the pictures is fixed. We define a tiling automaton as a tiling system equipped with a scanning strategy and a suitable data structure. The class of languages accepted by tiling automata coincides with the REC family. In this framework it is possible to define determinism, non-determinism and unambiguity. Then (deterministic) tiling automata are compared with the other known (deterministic) automata models for two-dimensional languages.     

Construction of minimal deterministic finite automata from biological motifs

Deterministic finite automata (DFAs) are constructed for various purposes in computational biology. Little attention, however, has been given to the efficient construction of minimal DFAs. In this article, we define simple non-deterministic finite automata (NFAs) and prove that the standard subset construction transforms NFAs of this type into minimal DFAs. Furthermore, we show how simple NFAs can be constructed from two types of pattern popular in bioinformatics, namely (sets of) generalized strings and (generalized) strings with a Hamming neighborhood.     

From LTL to deterministic automata

We present a new algorithm to construct a (generalized) deterministic Rabin automaton for an LTL formula \(\varphi \). The automaton is the product of a co-Büchi automaton for \(\varphi \) and an array of Rabin automata, one for each \({\mathbf {G}}\)-subformula of \(\varphi \). The Rabin automaton for \({\mathbf {G}}\psi \) is in charge of recognizing whether \({\mathbf {F}}{\mathbf {G}}\psi \) holds. This information is passed to the co-Büchi automaton that decides on acceptance. As opposed to standard procedures based on Safra’s determinization, the states of all our automata have a clear logical structure, which allows for various optimizations. Experimental results show improvement in the sizes of the resulting automata compared to existing methods.