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The Theory of Automata, a Survey
1961Summary: The chapter presents a survey, which focuses that part of automaton theory that lies outside of certain sub-theories -- namely, switching theory, the theory of computability, artificial intelligence, and learning machines as well as several topics related to the statistical aspects of machines.
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2011
1. The title “theory of automata” has become somewhat passe because the problems of interest to people working in this area have changed, and therefore the subject has split into a number of different disciplines. Each of these disciplines is called by its own name, but many of the results and techniques developed in the theory of automata have turned ...
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1. The title “theory of automata” has become somewhat passe because the problems of interest to people working in this area have changed, and therefore the subject has split into a number of different disciplines. Each of these disciplines is called by its own name, but many of the results and techniques developed in the theory of automata have turned ...
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From automata theory to brain theory
International Journal of Man-Machine Studies, 1975Although the brain modeler can gain many useful insights from such concepts of orthodox automata theory as finite automata, network complexity theory, and Turing machines, we here stress that the best neural modelling will bear little resemblance to a straight application of such techniques.
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1992
We propose timed automata to model the behavior of real-time systems over time. Our definition provides a simple, and yet powerful, way to annotate state-transition graphs with timing constraints using finitely many real-valued clocks. A timed automaton accepts timed words — strings in which a real-valued time of occurrence is associated with each ...
David L. Dill, Rajeev Alur
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We propose timed automata to model the behavior of real-time systems over time. Our definition provides a simple, and yet powerful, way to annotate state-transition graphs with timing constraints using finitely many real-valued clocks. A timed automaton accepts timed words — strings in which a real-valued time of occurrence is associated with each ...
David L. Dill, Rajeev Alur
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2007
A Textbook on Automata Theory has been designed for students of computer science. Adopting a comprehensive approach to the subject, the book presents various concepts with adequate explanations. The logical and structured treatment of the subject promotes better understanding and assimilation.
P. K. Srimani, S. F. B. Nasir
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A Textbook on Automata Theory has been designed for students of computer science. Adopting a comprehensive approach to the subject, the book presents various concepts with adequate explanations. The logical and structured treatment of the subject promotes better understanding and assimilation.
P. K. Srimani, S. F. B. Nasir
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General theory of relational automata
Fundamenta Informaticae, 1980General theory of relational automata, including non-deterministic linear and bilinear machines, structured non-deterministic tree automata and automata in some primitive classes of algebras, is developed. Particular attention is paid to languages accepted by finite relational automata.
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On the ergodic theory of cellular automata
Mathematical Systems Theory, 1975When properly viewed, the transition rule of a cellular automaton becomes a mapF from a set to itself. The set may be made a probability space. Sufficient conditions are given to ensure thatF be measure-preserving and ergodic. Some geometric consequences of ergodicity are noted.
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Programming and the Theory of Automata)
1959Publisher Summary This chapter discusses the programming and the theory of automata. Two different types of computing units are discussed. First, a tape consisting of an indefinite number of squares, each capable of storing a single symbol. The second type of unit is a finite control automaton with a “tape head,” that is, a finite automaton, which ...
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2018
Learning automaton (LA) as one of computational intelligence techniques is a stochastic model operating in the framework of the reinforcement learning. LA has been found to be a useful tool for solving many complex and real world problems where a large amount of uncertainty exists or there is no access to the whole information regarding the environment.
Mehdi Esnaashari +4 more
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Learning automaton (LA) as one of computational intelligence techniques is a stochastic model operating in the framework of the reinforcement learning. LA has been found to be a useful tool for solving many complex and real world problems where a large amount of uncertainty exists or there is no access to the whole information regarding the environment.
Mehdi Esnaashari +4 more
openaire +2 more sources