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Formal Languages and Automata Theory Géza Horváth, Benedek Nagy Szerzői Jog © 2014 Géza Horváth, Benedek Nagy, University of Debrecen
Formal Languages and Automata Theory Géza Horváth, Benedek Nagy Created by XMLmind XSL-FO Converter. Formal Languages and Automata Theory Géza Horváth, Benedek Nagy Szerzői jog © 2014 Géza Horváth, Benedek Nagy, University of Debrecen Created by XMLmind XSL-FO Converter. Tartalom Formal Languages and Automata Theory .......................................................................................... vi Introduction ...................................................................................................................................... vii 1. Elements of Formal Languages ...................................................................................................... 1 1. 1.1. Basic Terms .................................................................................................................... 1 2. 1.2. Formal Systems .............................................................................................................. 2 3. 1.3. Generative Grammars .................................................................................................... 5 4. 1.4. Chomsky Hierarchy ....................................................................................................... 6 2. Regular Languages and Finite Automata ...................................................................................... 12 1. 2.1. Regular Grammars ....................................................................................................... 12 2. 2.2. Regular Expressions .................................................................................................... -
Ucla Computer Science Depart "Tment
THE UCLA COMPUTER SCIENCE DEPART"TMENT QUARTERLY THE DEPARTMENT AND ITS PEOPLE FALL 1987/WINTER 1988 VOL. 16 NO. 1 SCHOOL OF ENGINEERING AND APPLIED SCIENCE COMPUTER SCIENCE DEPARTMENT OFFICERS Dr. Gerald Estrin, Chair Dr. Jack W. Carlyle, Vice Chair, Planning & Resources Dr. Sheila Greibach, Vice Chair, Graduate Affairs Dr. Lawrence McNamee, Vice Chair, Undergraduate Affairs Mrs. Arlene C. Weber, Management Services Officer Room 3713 Boelter Hall QUARTERLY STAFF Dr. Sheila Greibach, Editor Ms. Marta Cervantes, Coordinator Material in this publication may not be reproduced without written permission of the Computer Science Department. Subscriptions to this publication are available at $20.00/year (three issues) by contacting Ms. Brenda Ramsey, UCLA Computer Science Department, 3713 Boelter Hall, Los Angeles, CA 90024-1596. THE UCLA COMPUTER SCIENCE DEPARTMENT QUARTERLY The Computer Science Department And Its People Fall Quarter 1987/Winter Quarter 1988 Vol. 16, No. 1 SCHOOL OF ENGINEERING AND APPLIED SCIENCE UNIVERSITY OF CALIFORNIA, LOS ANGELES Fall-Winfer CSD Quarterly CONTENTS COMPUTER SCIENCE AT UCLA AND COMPUTER SCIENCE IN THE UNITED STATES GeraldEstrin, Chair...................................................................................................... I THE UNIVERSITY CONTEXT .............................................................................................. 13 THE UCLA COMPUTER SCIENCE DEPARTMENT The Faculty A rane nf;ntraract Biographies ............................................................................................................................. -
INF2080 Context-Sensitive Langugaes
INF2080 Context-Sensitive Langugaes Daniel Lupp Universitetet i Oslo 15th February 2017 Department of University of Informatics Oslo INF2080 Lecture :: 15th February 1 / 20 Context-Free Grammar Definition (Context-Free Grammar) A context-free grammar is a 4-tuple (V ; Σ; R; S) where 1 V is a finite set of variables 2 Σ is a finite set disjoint from V of terminals 3 R is a finite set of rules, each consisting of a variable and of a string of variables and terminals 4 and S is the start variable Rules are of the form A ! B1B2B3 ::: Bm, where A 2 V and each Bi 2 V [ Σ. INF2080 Lecture :: 15th February 2 / 20 consider the following toy programming language, where you can “declare” and “assign” a variable a value. S ! declare v; S j assign v : x; S this is context-free... but what if we only want to allow assignment after declaration and an infinite amount of variable names? ! context-sensitive! Why Context-Sensitive? Many building blocks of programming languages are context-free, but not all! INF2080 Lecture :: 15th February 3 / 20 this is context-free... but what if we only want to allow assignment after declaration and an infinite amount of variable names? ! context-sensitive! Why Context-Sensitive? Many building blocks of programming languages are context-free, but not all! consider the following toy programming language, where you can “declare” and “assign” a variable a value. S ! declare v; S j assign v : x; S INF2080 Lecture :: 15th February 3 / 20 but what if we only want to allow assignment after declaration and an infinite amount of variable names? ! context-sensitive! Why Context-Sensitive? Many building blocks of programming languages are context-free, but not all! consider the following toy programming language, where you can “declare” and “assign” a variable a value. -
Separation of Test-Free Propositional Dynamic Logics Over Context-Free Languages
Separation of Test-Free Propositional Dynamic Logics over Context-Free Languages Markus Latte∗ Department of Computer Science University of Munich, Germany For a class L of languages let PDL[L] be an extension of Propositional Dynamic Logic which allows programs to be in a language of L rather than just to be regular. If L contains a non-regular language, PDL[L] can express non-regular properties, in contrast to pure PDL. For regular, visibly pushdown and deterministic context-free languages, the separation of the respective PDLs can be proven by automata-theoretic techniques. However, these techniques introduce non-determinism on the automata side. As non-determinism is also the difference between DCFL and CFL, these techniques seem to be inappropriate to separate PDL[DCFL] from PDL[CFL]. Nevertheless, this separation is shown but for programs without test operators. 1 Introduction Propositional Dynamic Logic (PDL)[9] is a logical formalism to specify and verify programs [12, 16, 11]. These tasks rely on the satisfiability and model-checking problems. Applications in the field are supported by their relatively low complexities: EXPTIME- and PTIME-complete, respectively [9]. Formulas in PDL are interpreted over labeled transition systems. For instance, the formula hpij means that after executing the program p the formula j shall hold. In this context, programs and formulas are defined mutually inductively. This mixture allows programs to test whether or not a formula holds at the current state. Additionally, programs are required to be regular over the set of atomic programs and test operations. For instance, the program while (b) do p; can be rendered as h(b?; p)∗;:bij to ensure that the loop is finite and that j holds when the loop terminates [9]. -
Automata and Grammars
Automata and Grammars Prof. Dr. Friedrich Otto Fachbereich Elektrotechnik/Informatik, Universität Kassel 34109 Kassel, Germany E-mail: [email protected] SS 2018 Prof. Dr. F. Otto (Universität Kassel) Automata and Grammars 1 / 294 Lectures and Seminary SS 2018 Lectures: Thursday 9:00 - 10:30, Room S 11 Start: Thursday, February 22, 2018, 9:00. Seminary: Thursday 10:40 - 12:10, Room S 11 Start: Thursday, February 22, 2018, 10:40. Prof. Dr. F. Otto (Universität Kassel) Automata and Grammars 2 / 294 Exercises: From Thursday to Thursday next week! To pass seminary: At least two successful presentations in class (10 %) and passing of midtem exam on April 5 (10:40 - 11:40) (20 %) Final Exam: (dates have been fixed!) Written exam (2 hours) on May 31 (9:00 - 11:30) in S 11 Oral exam (30 minutes per student) on June 14 (9:00 - 12:30) in S 10 Written exam (2. try) on June 21 (9:00 - 11:30) in S 11 Oral exam (2. try) on June 28 (9:00 - 12:30) in S 11 The written exam accounts for 50 % of the final grade, while the oral exam accounts for 20 % of the final grade. Moodle: Course ”Automata and Grammars” NTIN071. Prof. Dr. F. Otto (Universität Kassel) Automata and Grammars 3 / 294 Literature: P.J. Denning, J.E. Dennis, J.E. Qualitz; Machines, Languages, and Computation. Prentice-Hall, Englewood Cliffs, N.J., 1978. M. Harrison; Introduction to Formal Language Theory. Addison-Wesley, Reading, M.A., 1978. J.E. Hopcroft, R. Motwani, J.D. Ullman; Introduction to Automata Theory, Languages, and Computation. -
Bibliography
Bibliography [57391] ISO/IEC JTC1/SC21 N 5739. Database language SQL, April 1991. [69392] ISO/IEC JTC1/SC21 N 6931. Database language SQL (SQL3), June 1992. [A+76] M. M. Astrahan et al. System R: a relational approach to data management. ACM Trans. on Database Systems, 1(2):97–137, 1976. [AA93] P. Atzeni and V. De Antonellis. Relational Database Theory. Benjamin/Cummings Publishing Co., Menlo Park, CA, 1993. [AABM82] P. Atzeni, G. Ausiello, C. Batini, and M. Moscarini. Inclusion and equivalence between relational database schemata. Theoretical Computer Science, 19:267–285, 1982. [AB86] S. Abiteboul and N. Bidoit. Non first normal form relations: An algebra allowing restructuring. Journal of Computer and System Sciences, 33(3):361–390, 1986. [AB87a] M. Atkinson and P. Buneman. Types and persistence in database programming languages. ACM Computing Surveys, 19(2):105–190, June 1987. [AB87b] P. Atzeni and M. C. De Bernardis. A new basis for the weak instance model. In Proc. ACM Symp. on Principles of Database Systems, pages 79–86, 1987. [AB88] S. Abiteboul and C. Beeri. On the manipulation of complex objects. Technical Report, INRIA and Hebrew University, 1988. (To appear, VLDB Journal.) [AB91] S. Abiteboul and A. Bonner. Objects and views. In Proc. ACM SIGMOD Symp. on the Management of Data, 1991. [ABD+89] M. Atkinson, F. Bancilhon, D. DeWitt, K. Dittrich, D. Maier, and S. Zdonik. The object- oriented database system manifesto. In Proc. of Intl. Conf. on Deductive and Object-Oriented Databases (DOOD), pages 40–57, 1989. [ABGO93] A. Albano, R. Bergamini, G. Ghelli, and R. Orsini. -
CDM Context-Sensitive Grammars
CDM Context-Sensitive Grammars 1 Context-Sensitive Grammars Klaus Sutner Carnegie Mellon Universality Linear Bounded Automata 70-cont-sens 2017/12/15 23:17 LBA and Counting Where Are We? 3 Postfix Calculators 4 Hewlett-Packard figured out 40 years ago the reverse Polish notation is by far the best way to perform lengthy arithmetic calculations. Very easy to implement with a stack. Context-free languages based on grammars with productions A α are very → important since they describe many aspects of programming languages and The old warhorse dc also uses RPN. admit very efficient parsers. 10 20 30 + * n CFLs have a natural machine model (PDA) that is useful e.g. to evaluate 500 arithmetic expressions. 10 20 30 f Properties of CFLs are mostly undecidable, Emptiness and Finiteness being 30 notable exceptions. 20 10 ^ n 1073741824000000000000000000000000000000 Languages versus Machines 5 Languages versus Machines 6 Why the hedging about “aspects of programming languages”? To deal with problems like this one we need to strengthen our grammars. The Because some properties of programming language lie beyond the power of key is to remove the constraint of being “context-free.” CFLs. Here is a classical example: variables must be declared before they can be used. This leads to another important grammar based class of languages: context-sensitive languages. As it turns out, CSL are plenty strong enough to begin describe programming languages—but in the real world it does not matter, it is int x; better to think of programming language as being context-free, plus a few ... extra constraints. x = 17; .. -
Formal Languages and Logics Lecture Notes
Formal Languages and Logics Jacobs University Bremen Herbert Jaeger Course Number 320211 Lecture Notes Version from Oct 18, 2017 1 1. Introduction 1.1 What these lecture notes are and aren't This lecture covers material that is relatively simple, extremely useful, superbly described in a number of textbooks, and taught in almost precisely the same way in hundreds of university courses. It would not make much sense to re-invent the wheel and re-design this lecture to make it different from the standards. Thus I will follow closely the classical textbook of Hopcroft, Motwani, and Ullman for the first part (automata and formal languages) and, somewhat more freely, the book of Schoening in the second half (logics). Both books are available at the IRC. These books are not required reading; the lecture notes that I prepare are a fully self-sustained reference for the course. However, I would recommend to purchase a personal copy of these books all the same for additional and backup reading because these are highly standard reference books that a computer scientist is likely to need again later in her/his professional life, and they are more detailed than this lecture or these lecture notes. There are several sets of course slides and lecture notes available on the Web which are derived from the Hopcroft/Motwani/Ullman book. At http://www- db.stanford.edu/~ullman/ialc/win00/win00.html, you will find lecture notes prepared by Jeffrey Ullman himself. Given the highly standardized nature of the material and the availablity of so many good textbooks and online lecture notes, these lecture notes of mine do not claim originality. -
Languages Generated by Context-Free and Type AB → BA Rules
Magyar Kutatók 8. Nemzetközi Szimpóziuma 8th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics Languages Generated by Context-Free and Type AB → BA Rules Benedek Nagy Faculty of Informatics, University of Debrecen, H-4010 PO Box 12, Hungary, Research Group on Mathematical Linguistics, Rovira i Virgili University, Tarragona, Spain [email protected] Abstract: Derivations using branch-interchanging and language family obtained by context-free and interchange (AB → BA) rules are analysed. This language family is between the context-free and context-sensitive families helping to fill the gap between them. Closure properties are analysed. Only semi-linear languages can be generated in this way. Keywords: formal languages, Chomsky hierarchy, derivation trees, interchange (permutation) rule, semi-linear languages, mildly context-sensitivity 1 Introduction The Chomsky type grammars and the generated language families are one of the most basic and most important fields of theoretical computer science. The field is fairly old, the basic concepts and results are from the middle of the last century (see, for instance, [2, 6, 7]). The context-free grammars (and languages) are widely used due to their generating power and simple way of derivation. The derivation trees represent the context-free derivations. There is a big gap between the efficiency of context-free and context-sensitive grammars. There are very ‘simple’ non-context-free languages, for instance {an^2 |n ∈ N}, {anbncn|n ∈ N}, etc. It was known in the early 70’s that every context-sensitive language can be generated by rules only of the following types AB → AC, AB → BA, A → BC, A → B and A → a (where A,B,C are nonterminals and a is a terminal symbol). -
Theory of Computation
Theory of Computation Todd Gaugler December 14, 2011 2 Contents 1 Mathematical Background 5 1.1 Overview . .5 1.2 Number System . .5 1.3 Functions . .6 1.4 Relations . .6 1.5 Recursive Definitions . .8 1.6 Mathematical Induction . .9 2 Languages and Context-Free Grammars 11 2.1 Languages . 11 2.2 Counting the Rational Numbers . 13 2.3 Grammars . 14 2.4 Regular Grammar . 15 3 Normal Forms and Finite Automata 17 3.1 Review of Grammars . 17 3.2 Normal Forms . 18 3.3 Machines . 20 3.3.1 An NFA λ ..................................... 22 4 Regular Languages 23 4.1 Computation . 24 4.2 The Extended Transition Function . 24 4.3 Algorithms . 26 4.3.1 Removing Non-Determinism . 26 4.3.2 State Minimization . 26 4.3.3 Expression Graph . 26 4.4 The Relationship between a Regular Grammar and the Finite Automaton . 26 4.4.1 Building an NFA corresponding to a Regular Grammar . 27 4.4.2 Closure . 27 4.5 Review for the First Exam . 28 4.6 The Pumping Lemma . 28 5 Pushdown Automata and Context-Free Languages 31 5.1 Pushdown Automata . 31 5.2 Variations on the PDA Theme . 34 5.3 Acceptance of Context-Free Languages . 36 3 CONTENTS CONTENTS 5.4 The Pumping Lemma for Context-Free Languages . 36 5.5 Closure Properties of Context- Free Languages . 37 6 Turing Machines 39 6.1 The Standard Turing Machine . 39 6.2 Turing Machines as Language Acceptors . 40 6.3 Alternative Acceptance Criteria . 41 6.4 Multitrack Machines . 42 6.5 Two-Way Tape Machines . -
New Probabilistic Model of Stochastic Context-Free Grammars in Greibach Normal Form
New Probabilistic Model of Stochastic Context-Free Grammars in Greibach Normal Form Yevhen Hrubiian Student, group FI-33, Institute of Physics and Technology NTUU “Igor Sikorsky Kyiv Polytechnic Institute” Kyiv, Ukraine [email protected] Імовірнісна Модель Стохастичних Контекстно- Вільних Граматик в Нормальній Формі Грейбах Євген Грубіян Студент групи ФІ-33, Фізико-технічний інститут НТУУ “Киівський політехнічний інститут ім. Ігоря Сікорського” Київ, Україна [email protected] Abstract—In this paper we propose new probabilistic model models of languages were proposed by Claude Shannon to of stochastic context-free grammars in Greibach normal form. describe informational aspects of languages such as entropy but This model might be perspective for future developments and they became very relevant and actual in modern linguistics. N- researching stochastic context-free grammars. gram model is one of the most accurate statistical models of language but the main drawback is that for precious learning Анотація—В роботі запропоновано нову імовірнісну this model for high values of N one needs a huge amount of модель стохастичних контекстно-вільних граматик в texts in different thematic, but unfortunately, even if we have нормальній формі Грейбах. Ця модель може бути got a lot of texts it turns out to be harmful for accurate and перспективною для подальших досліджень стохастичних precise modeling whole language. Because of this reason контекстно–вільних граматик. stochastic context-free grammars were introduced for more Keywords—stochastic context-free grammar; Greibach normal precious description of languages because context-freeness form; hidden Markov models guarantees grammatical pattern of language and probability distributions on grammatical rules approach semantic structure Ключові слова—стохастична контекстно-вільна граматика; of phrases. -
Continuance and Transience of Lifetime Co-Authorships
Open Archive TOULOUSE Archive Ouverte ( OATAO ) OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 13197 To link to this article : doi:10.1007/s11192-014-1426-0 URL : http://dx.doi.org/10.1007/s11192-014-1426-0 To cite this version : Cabanac, Guillaume and Hubert, Gilles and Milard, Béatrice Academic careers in Computer Science: Continuance and transience of lifetime co-authorships. (2015) Scientometrics, vol. 102 (n° 1). pp. 135-150. ISSN 0138-9130 Any correspondance concerning this service should be sent to the repository administrator: [email protected] DOI 10.1007/s11192-014-1426-0 Academic careers in Computer Science: Continuance and transience of lifetime co-authorships Guillaume Cabanac · Gilles Hubert · Béatrice Milard Abstract Scholarly publications reify fruitful collaborations between co-authors. A branch of research in the Science Studies focuses on analyzing the co-authorship networks of established scientists. Such studies tell us about how their collaborations developed through their careers. This paper updates previous work by reporting a transversal and a longitudinal studies spanning the lifelong careers of a cohort of researchers from the DBLP bibliographic database. We mined 3,860 researchers’ publication records to study the evolution patterns of their co-authorships. Two features of co-authors were considered: 1) their expertise, and 2) the history of their partnerships with the sampled researchers. Our findings reveal the ephemeral nature of most collaborations: 70% of the new co-authors were only one-shot partners since they did not appear to collaborate on any further publications.