Search results for "Automata"

showing 10 items of 453 documents

Distributed learning automata-based scheme for classification using novel pursuit scheme

2020

Learning Automata (LA) is a popular decision making mechanism to “determine the optimal action out of a set of allowable actions” (Agache and Oommen, IEEE Trans Syst Man Cybern-Part B Cybern 2002(6): 738–749, 2002). The distinguishing characteristic of automata-based learning is that the search for the optimising parameter vector is conducted in the space of probability distributions defined over the parameter space, rather than in the parameter space itself (Thathachar and Sastry, IEEE Trans Syst Man Cybern-Part B Cybern 32(6): 711–722, 2002). Recently, Goodwin and Yazidi pioneered the use of Ant Colony Optimisation (ACO) for solving classification problems (Goodwin and Yazidi 2016). In th…

PolynomialOptimization problemLearning automataComputer sciencePolygonsFeature vector02 engineering and technologyAnt colonyParameter spaceRandom walkLearning automataSupport vector machineKernel methodArtificial IntelligenceKernel (statistics)Polygon0202 electrical engineering electronic engineering information engineeringProbability distribution020201 artificial intelligence & image processingClassificationsVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550AlgorithmApplied Intelligence
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On the Size Complexity of Deterministic Frequency Automata

2013

Austinat, Diekert, Hertrampf, and Petersen [2] proved that every language L that is (m,n)-recognizable by a deterministic frequency automaton such that m > n/2 can be recognized by a deterministic finite automaton as well. First, the size of deterministic frequency automata and of deterministic finite automata recognizing the same language is compared. Then approximations of a language are considered, where a language L′ is called an approximation of a language L if L′ differs from L in only a finite number of strings. We prove that if a deterministic frequency automaton has k states and (m,n)-recognizes a language L, where m > n/2, then there is a language L′ approximating L such that L′ c…

Powerset constructionPushdown automatonComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Nonlinear Sciences::Cellular Automata and Lattice GasesCombinatoricsDeterministic pushdown automatonDeterministic finite automatonDeterministic automatonComputer Science::Programming LanguagesQuantum finite automataTwo-way deterministic finite automatonNondeterministic finite automatonComputer Science::Formal Languages and Automata TheoryMathematics
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Monadic second-order logic over pictures and recognizability by tiling systems

1994

We show that a set of pictures (rectangular arrays of symbols) is recognized by a finite tiling system if and only if it is definable in existential monadic second-order logic. As a consequence, finite tiling systems constitute a notion of recognizability over two-dimensional inputs which at the same time generalizes finite-state recognizability over strings and matches a natural logic. The proof is based on the Ehrenfeucht-FraIsse technique for first-order logic and an implementation of “threshold counting” within tiling systems.

Predicate logicDiscrete mathematicsTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESComputer Science::Logic in Computer ScienceSubstructural logicSecond-order logicMultimodal logicDynamic logic (modal logic)Intermediate logicHigher-order logicComputer Science::Formal Languages and Automata TheoryMonadic predicate calculusMathematics
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Monadic Second-Order Logic over Rectangular Pictures and Recognizability by Tiling Systems

1996

Abstract It is shown that a set of pictures (rectangular arrays of symbols) is recognized by a finite tiling system iff it is definable in existential monadic second-order logic. As a consequence, finite tiling systems constitute a notion of recognizability over two-dimensional inputs which at the same time generalizes finite-state recognizability over strings and also matches a natural logic. The proof is based on the Ehrenfeucht–Fraisse technique for first-order logic and an implementation of “threshold counting” within tiling systems.

Predicate logicMonadic second-order logicDiscrete mathematicsNatural logicIntermediate logicHigher-order logicMonadic predicate calculusComputer Science ApplicationsTheoretical Computer ScienceMathematics::LogicTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESComputational Theory and MathematicsComputer Science::Logic in Computer ScienceMany-valued logicDynamic logic (modal logic)Computer Science::Formal Languages and Automata TheoryInformation SystemsMathematicsInformation and Computation
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Recent results on syntactic groups of prefix codes

2012

International audience; We give a simplified presentation of groups in transformation monoids. We use this presentation to describe two recent results on syntactic groups of prefix codes. The first one uses Sturmian words to build finite bifix codes with a given permutation group as syntactic group. The second one describes a class of prefix codes such that all their syntactic groups are cyclic.

Prefix codeDiscrete mathematicsClass (set theory)Group (mathematics)010102 general mathematicsComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)0102 computer and information sciencesPermutation group16. Peace & justice01 natural sciencesTransformation (music)Theoretical Computer SciencePrefixTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESComputational Theory and Mathematics[INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]010201 computation theory & mathematicsDiscrete Mathematics and CombinatoricsGeometry and Topology0101 mathematicsArithmeticComputer Science::Formal Languages and Automata Theory[INFO.INFO-FL] Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]MathematicsEuropean Journal of Combinatorics
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A Generalization of Girod's Bidirectional Decoding Method to Codes with a Finite Deciphering Delay

2012

Girod’s encoding method has been introduced in order to efficiently decode from both directions messages encoded by using finite prefix codes. In the present paper, we generalize this method to finite codes with a finite deciphering delay. In particular, we show that our decoding algorithm can be realized by a deterministic finite transducer. We also investigate some properties of the underlying unlabeled graph.

Prefix codeStrongly connected componentTheoretical computer scienceGeneralizationdeciphering delayData_CODINGANDINFORMATIONTHEORY0102 computer and information sciences02 engineering and technology01 natural sciences[INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]Encoding (memory)0202 electrical engineering electronic engineering information engineeringCode (cryptography)Computer Science (miscellaneous)prefix (free) codeunlabeled graphMathematicsCode[MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT]020206 networking & telecommunicationsCode; deciphering delay; prefix (free) code; strongly connected component; transducer; unlabeled graph; Computer Science (miscellaneous)Prefixtransducer[INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT]010201 computation theory & mathematicsGraph (abstract data type)strongly connected componentAlgorithmDecoding methods
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Suffix Automata and Standard Sturmian Words

2007

Blumer et al. showed (cf. [3,2]) that the suffix automaton of a word w must have at least |w|+1 states and at most 2|w|-1 states. In this paper we characterize the language L of all binary words w whose minimal suffix automaton S(w) has exactly |w| + 1 states; they are precisely all prefixes of standard Sturmian words. In particular, we give an explicit construction of suffix automaton of words that are palindromic prefixes of standard words. Moreover, we establish a necessary and sufficient condition on S(w) which ensures that if w ∈ L and a ∈ {0, 1} then wa ∈ L. By using such a condition, we show how to construct the automaton S(wa) from S(w). More generally, we provide a simple construct…

PrefixCombinatoricsSettore INF/01 - InformaticaLevenshtein automatonSimple (abstract algebra)PalindromeSuffix automatonSuffix AutomataArithmeticSuffixWord (group theory)AutomatonMathematics
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Some Decision Results on Nonrepetitive Words

1985

The paper addresses some generalizations of the Thue Problem such as: given a word u, does there exist an infinite nonrepetitive overlap free (or square free) word having u as a prefix? A solution to this as well as to related problems is given for the case of overlap free words on a binary alphabet.

PrefixCombinatoricsTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESComputer Science::Discrete MathematicsUnique factorization domainComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Square-free integerComputer Science::Formal Languages and Automata TheoryBinary alphabetWord (computer architecture)Mathematics
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On Using the Theory of Regular Functions to Prove the ε-Optimality of the Continuous Pursuit Learning Automaton

2013

Published version of a chapter in the book: Recent Trends in Applied Artificial Intelligence. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-642-38577-3_27 There are various families of Learning Automata (LA) such as Fixed Structure, Variable Structure, Discretized etc. Informally, if the environment is stationary, their ε-optimality is defined as their ability to converge to the optimal action with an arbitrarily large probability, if the learning parameter is sufficiently small/large. Of these LA families, Estimator Algorithms (EAs) are certainly the fastest, and within this family, the set of Pursuit algorithms have been considered to be the pioneering schemes. The…

Property (philosophy)Learning automataComputer scienceVDP::Mathematics and natural science: 400::Information and communication science: 420::Algorithms and computability theory: 422Structure (category theory)Monotonic functionMathematical proofAutomatonArbitrarily largeε-optimalityContinuous Pursuit AlgorithmCalculuspursuit algorithmsAlgorithmVariable (mathematics)
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A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton

2019

Author's accepted version (post-print). © 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Available from 20/03/2021. This paper deals with the finite-time analysis (FTA) of learning automata (LA), which is a topic for which very little work has been reported in the literature. This is as opposed to the asymptotic steady-state analysis for which there are, probabl…

Property (philosophy)Learning automataDiscretizationMarkov chainComputer Networks and CommunicationsComputer scienceMarkov processMonotonic function02 engineering and technologyVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Computer Science ApplicationsAutomatonsymbols.namesakeArtificial Intelligence0202 electrical engineering electronic engineering information engineeringsymbols020201 artificial intelligence & image processingMathematical economicsSoftwareIEEE Transactions on Neural Networks and Learning Systems
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