PPT-Deterministic Finite Automaton

A deterministic finite automaton DFA is a fivetuple A Q q 0 F where Q is a finite set of states is a finite set of input symbols is a function Q Q called . Each one tape automaton defines a set of tapes a twotape automaton defines a set of pairs of tapes et cetera The structure of the defined sets is studied Various generalizations of the notion of an automaton are introduced and their relation to the Finite set of states t ypically 2 Alphab et of input symb ols t ypically 3 One state is the startinitial state t ypically 4 Zero or more nalac epting states the set is ypically 5 tr ansition function t ypically This function ak es a stat Theory of Computation. What is possible to compute?. We can prove that there are some problems computers cannot solve. There are some problems computers can theoretically solve, but are intractable (would take too long to compute to be practical). Rational . A. utomata. : . a . bridge unifying . 1d and. . 2d. language. . theory. Marcella Anselmo Dora . Giammarresi. Maria . Madonia. . Univ. . . of. Salerno. . . Univ. . Roma . Great Theoretical Ideas In Computer Science. Anupam. Gupta. Danny Sleator. CS 15-251 . Fall . 2010. Lecture 20. Oct 28, 2010. Carnegie Mellon University. A machine so simple that you can understand it in less than one minute. Introduce finite state automata. Able to capture state, events and dynamic behavior of “man-made systems”. Present logical properties. Textbook :. C. . Cassandras. and S. . Lafortune. , Introduction to Discrete Event Systems, Springer, 2007. and. Happy and fruitful New Year. שנה טובה. (Happy New Year). Staff. Instructor:. Amos Israeli room 2-106 .. Office Hours: . Fri 10-12 or by arrangement . Tel#: . 53. 4-886. e-mail:. aisraeli “at” cs.ucsd.edu. Introduce finite state automata. Able to capture state, events and dynamic behavior of “man-made systems”. Present logical properties. Textbook :. C. . Cassandras. and S. . Lafortune. , Introduction to Discrete Event Systems, Springer, 2007. Ashish Srivastava. Harshil Pathak. Introduction to Probabilistic Automaton. Deterministic Probabilistic Finite Automata. Probabilistic Finite Automaton. Probably Approximately Correct (PAC) learnability. Ashish Srivastava. Harshil Pathak. Introduction to Probabilistic Automaton. Deterministic Probabilistic Finite Automata. Probabilistic Finite Automaton. Probably Approximately Correct (PAC) learnability. Lexers. Example in . javacc. TOKEN. : {. <IDENTIFIER: <LETTER> (<LETTER> | <DIGIT> | "_")* >. | . <INTLITERAL: . <DIGIT> (<DIGIT>)* . >. | <LETTER: ["a"-"z"] | ["A"-"Z"]>. Automata, Logic and infinite games”, edited by . Gradel. , Thomas and Wilke. Games, logic and Automata Seminar. Assaf. Ben Shimon. ω. -. Automata. Intro. The main topic covered in this chapter is the question how to define acceptance of infinite words by finite automata.. Systems. Timed to Hybrid Automata . Sayan. . Mitra. . (edited by Yu Wang). Lecture 10. Announcements. HW2 released . start soon. Readings. [Henz95]. Thomas . Henzinger. , Peter . Kopke. , . Anuj. . Regular Languages Refresher. Roman . Manevich. Ben-Gurion University of the Negev. Regular languages refresher. 2. Regular languages refresher. Formal languages. Alphabet = finite set of letters. Word = sequence of letter.