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1 CDT314 FABER Formal Languages, Automata and Models of Computation Lecture 8 Mälardalen University 2011.

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Presentation on theme: "1 CDT314 FABER Formal Languages, Automata and Models of Computation Lecture 8 Mälardalen University 2011."— Presentation transcript:

1 1 CDT314 FABER Formal Languages, Automata and Models of Computation Lecture 8 Mälardalen University 2011

2 2 Content Context-Free Languages Push-Down Automata, PDA NPDA: Non-Deterministic PDA Formal Definitions for NPDAs NPDAs Accept Context-Free Languages Converting NPDA to Context-Free Grammar

3 3 Regular Languages Context-Free Languages Non-regular languages

4 4 Context-Free Languages

5 5 Pushdown Automata Context-Free Grammars stack automaton (CF grammars are defined as generalized Regular Grammars)

6 6 Definition: Context-Free Grammars Grammar Productions of the form: is string of variables and terminals VariablesTerminal symbols Start variables

7 7 Pushdown Automata PDAs

8 8 Pushdown Automaton - PDA Input String Stack States

9 9 The Stack The stack allows pushdown automata to recognize some non-regular languages. All access to the stack is only on the top! (Stack top is written leftmost in the string, e.g. yxz) A PDA can write symbols on stack and read them later on. A stack is valuable as it can hold an unlimited amount of information (but it is not random access!). POP reading symbol PUSH writing symbol

10 10 The States Input symbol Pop old - reading stack symbol Push new - writing stack symbol

11 11 top input stack Replace (An alternative is to either start and finish with empty stack or with a stack bottom symbol such as $)

12 12 input Push top stack

13 13 input Pop top stack

14 14 input No Change top stack

15 15 Input Stack Example 3.7 Salling: A PDA for simple nested parenthesis strings Time 0

16 16 Input Stack Example 3.7 Time 1

17 17 Input Stack Example 3.7 Time 2

18 18 Input Stack Example 3.7 Time 3

19 19 Input Stack Example 3.7 Time 4

20 20 Input Stack Example 3.7 Time 5

21 21 Input Stack Example 3.7 Time 6

22 22 Input Example 3.7 Time 7 Stack

23 23 NPDAs Non-deterministic Push-Down Automata

24 24 Non-Determinism

25 25 A string is accepted if: All the input is consumed The last state is a final state Stack is in the initial condition (either: empty (when we started with empty stack), or: bottom symbol reached, depending on convention)

26 26 is the language accepted by the NPDA: Example NPDA

27 27 NPDA M (Even-length palindromes) Example NPDA Example : aabaaabbb  bbbaaabaa

28 28 Pushing Strings Input symbol Pop symbol Push string

29 29 top input stack Push pushed string Example

30 30 Another NPDA example NPDA M

31 31 Time 0 Input Stack Current state Execution Example

32 32 Input Stack Time 1

33 33 Input Stack Time 2

34 34 Input Stack Time 3

35 35 Input Stack Time 4

36 36 Input Stack Time 5

37 37 Input Stack Time 6

38 38 Input Stack accept Time 7

39 39 Formal Definitions for NPDAs

40 40 Transition function

41 41 Transition function current state current input symbol current stack top new state new stack top An unspecified transition function is to the null set and represents a dead configuration for the NPDA.

42 42 Formal Definition Non-Deterministic Pushdown Automaton NPDA States Input alphabet Stack alphabet Transition function Final states Stack start symbol

43 43 Instantaneous Description Current state Remaining input Current stack contents

44 44 Input Stack Time 4: ExampleInstantaneous Description

45 45 Input Stack Time 5: ExampleInstantaneous Description

46 46 We write Time 4Time 5

47 47 A computation example

48 48 A computation example

49 49 A computation example

50 50 A computation example

51 51 A computation example

52 52 A computation example

53 53 A computation example

54 54 A computation example

55 55 For convenience we write A computation example

56 56 Formal Definition Language of NPDA M Initial state Final state

57 57 Example NPDA M

58 58 NPDA M

59 59 Therefore: NPDA M

60 60 NPDAs Accept Context-Free Languages

61 61 Context-Free Languages (Grammars) Languages Accepted by NPDAs Theorem

62 62 Context-Free Languages (Grammars) Languages Accepted by NPDAs Proof - Step 1: Convert any context-free grammar G to a NPDA M with L(G) = L(M)

63 63 Context-Free Languages (Grammars) Languages Accepted by NPDAs Proof - Step 2: Convert any NPDA M to a context-free grammar G with L(M) = L(G)

64 64 Converting Context-Free Grammars to NPDAs

65 65 An example grammar: What is the equivalent NPDA?

66 66 Grammar NPDA

67 67 The NPDA simulates the leftmost derivations of the grammar L(Grammar) = L(NPDA)

68 68 Grammar: A leftmost derivation:

69 69 NPDA execution: Input Stack Time 0 Start

70 70 Input Stack Time 1

71 71 Input Stack Time 2

72 72 Input Stack Time 3

73 73 Input Stack Time 4

74 74 Input Stack Time 5

75 75 Input Stack Time 6

76 76 Input Stack Time 7

77 77 Input Stack Time 8

78 78 Input Stack Time 9

79 79 Input Stack Time 10 accept

80 80 In general Given any grammar G we can construct a NPDA M with

81 81 For any productionFor any terminal Constructing NPDA M from grammar G Top-down parser

82 82 Grammar G generates string w if and only if NPDA M accepts w

83 83 For any context-free language there is an NPDA that accepts the same language

84 84 Which means Languages Accepted by NPDAs Context-Free Languages (Grammars)

85 85 Converting NPDAs to Context-Free Grammars

86 86 For any NPDA M we will construct a context-free grammar G with

87 87 in NPDA M Input processedStack contents terminals variables A derivation in Grammar The grammar simulates the machine

88 88 Some Simplifications First we modify the NPDA so that It has a single final state q f and It empties the stack when it accepts the input Original NPDAEmpty Stack

89 89 Second we modify the NPDA transitions. All transitions will have form: or which means that each move increases/decreases stack by a single symbol.

90 90 Those simplifications do not affect generality of our argument. It can be shown that for any NPDA there exists an equivalent one having the above two properties i.e. the equivalent NPDA with a single final state which empties its stack when it accepts the input, and which for each move increases/decreases stack by a single symbol.

91 91 The Grammar Construction In grammar G Terminals: Input symbols of NPDA states Stack symbol Variables:

92 92 For each transition: we add production:

93 93 For each transition: we add production: for all states q k, q l

94 94 Start Variable Stack bottom symbol Start state (Single) Final state

95 95 From NPDA to CFG, in short When we write a grammar, we can use any variable names we choose. As in programming languages, we like to use "meaningful" variable names. When we translate an NPDA into a CFG, we will use variable names that encode information about both the state of the NPDA and the stack contents. Variable names will have the form [qiAqj], where qi and qj are states and A is a variable. The "meaning" of the variable [qiAqj] is that the NPDA can go from state qi with Ax on the stack to state qj with x on the stack. Each transition of the form (qi, a, A) = (qj, ) results in a single grammar rule.

96 96 From NPDA to CFG Each transition of the form (qi, a, A) = (qj, BC) results in a multitude of grammar rules, one for each pair of states qx and qy in the NPDA. This algorithm results in a lot of useless (unreachable) productions, but the useful productions define the context-free grammar recognized by the NPDA. http://www.seas.upenn.edu/~cit596/notes/dave/npda-cfg6.html http://www.cs.duke.edu/csed/jflap/tutorial/pda/cfg/index.htmlhttp://www.seas.upenn.edu/~cit596/notes/dave/npda-cfg6.html http://www.cs.duke.edu/csed/jflap/tutorial/pda/cfg/index.html using JFLAP

97 97 For any NPDA there is an context-free grammar that generates the same language

98 98 Context-Free Languages (Grammars) Languages Accepted by NPDAs We have the procedure to convert any NPDA M to a context-free grammar G with L(M) = L(G) which means

99 99 Context-Free Languages (Grammars) Languages Accepted by NPDAs Therefore END OF PROOF

100 100 An example of a NPDA in an appropriate form

101 101 Example Grammar production:

102 102 Grammar productions:

103 103 Grammar production:

104 104 Resulting Grammar

105 105 Resulting Grammar, cont.

106 106 Resulting Grammar, cont.

107 107 Derivation of string

108 108 In general, in grammar: if and only if is accepted by the NPDA

109 109 Explanation By construction of Grammar: if and only if in the NPDA going from q i to q j the stack doesn’t change below and A is removed from stack

110 110 Example (Sudkamp 8.1.2) Language consisting solely of a’s or an equal number of a´s and b´s.

111 111 JFLAP demo Concerning examination in the course: Exercises are voluntary Labs are voluntary Midterms are voluntary Lectures are voluntary… All of them are recommended! http://www.cs.duke.edu/csed/jflap/movies


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