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ω-automaton

About: ω-automaton is a research topic. Over the lifetime, 2299 publications have been published within this topic receiving 68468 citations. The topic is also known as: stream automaton & ω-automata.


Papers
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Journal ArticleDOI
TL;DR: A new general definition for fuzzy automata is developed, and well-defined and application-driven methodologies are developed to establish a better ground for fuzzy Automata and pave the way for forthcoming applications.

145 citations

Journal ArticleDOI
TL;DR: The main concern of this paper is with testing membership and (essential) emptiness of limit sets for linear and two-dimensional cellular automata.
Abstract: The limit sets of cellular automata, defined by Wolfram, play an important role in applications of cellular automata to complex systems. A number of results on limit sets are proved, considering both finite and infinite configurations of cellular automata. The main concern of this paper is with testing membership and (essential) emptiness of limit sets for linear and two-dimensional cellular automata.

144 citations

Journal ArticleDOI
01 Dec 1987
TL;DR: A reinforcement scheme that is based on the linear reward-inaction updating algorithm is presented for a learning automaton whose action set changes from instant to instant and is shown to be both absolutely expedient and ε-optimal.
Abstract: A reinforcement scheme that is based on the linear reward-inaction updating algorithm is presented for a learning automaton whose action set changes from instant to instant. A learning automaton using the algorithm is shown to be both absolutely expedient and e-optimal. The simulation results verify the e-optimality of the algorithm. The results can be extended to the design of general nonlinear absolutely expedient learning algorithms.

144 citations

Book ChapterDOI
11 Nov 2002
TL;DR: This paper describes how, by labeling automata transitions rather than states, the size of automata generated by existing tableau-based translation algorithms is significantly reduced.
Abstract: Model checking is an automated technique for checking that a system satisfies a set of required properties. With explicit-state model checkers, properties are typically defined in linear-time temporal logic (LTL), and are translated into Buchi automata in order to be checked. This paper describes how, by labeling automata transitions rather than states, we significantly reduce the size of automata generated by existing tableau-based translation algorithms. Our optimizations apply to the core of the translation process, where generalized Buchi automata are constructed. These automata are subsequently transformed in a single efficient step into Buchi automata as used by model checkers. The tool that implements the work described here is released as part of the Java Path-Finder software (JPF), an explicit state model checker of Java programs under development at the NASA Ames Research Center.

143 citations

Journal ArticleDOI
TL;DR: This paper tours a fragment of a vast literature documenting the importance of deterministic, nondeterministic, and alternating finite automata as an enormously valuable concept, and discusses developments relevant to infinite automata related problems like simulation of and by several types of finite Automata.
Abstract: Finite automata are probably best known for being equivalent to right-linear context-free grammars and, thus, for capturing the lowest level of the Chomsky-hierarchy, the family of regular languages. Over the last half century, a vast literature documenting the importance of deterministic, nondeterministic, and alternating finite automata as an enormously valuable concept has been developed. In the present paper, we tour a fragment of this literature. Mostly, we discuss developments relevant to finite automata related problems like, for example, (i) simulation of and by several types of finite automata, (ii) standard automata problems such as fixed and general membership, emptiness, universality, equivalence, and related problems, and (iii) minimization and approximation. We thus come across descriptional and computational complexity issues of finite automata. We do not prove these results but we merely draw attention to the big picture and some of the main ideas involved.

142 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20238
202219
20201
20191
20185
201748