Todays programme: Propositional Logic. Program Fac. Program Specification

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1 Todays programme: Propositional Logic Familiarity with basic terminology of logics Syntax, logical connectives Semantics: models, truth, validity, logical consequence Proof systems: deductions, deductive consequence, theorems Soundness and completeness Describe propositional logic and some of its basic properties Semantics: truth tables Axiomatic proof system AL and its deductions Soundness and completeness of AL 1 Program Fac y := 1; z := 0; while (z = x) do z := z + 1; y := y * z 2 Program Specification { x > 0} y := 1; z := 0; while (z = x) do z := z + 1; y := y * z { y = x! } 3

2 Program Verification { x > 0} y := 1; z := 0; { y = z! } 1 = 0! while (z = x) do { y = z! (x =z) } z := z + 1; { y z = z! } y := y * z { y = z! } { y = x! } x,y,z. ( (y = z! (z = x) ) (y = x!) ) 4 Predicate Logic Sten kan ikke flyve og morlille kan ikke flyve ergo er morlille en sten! x. (St(x) Fl(x)), Fl(morlille) = St(morlille) Fugle kan flyve og piphans er en fugl ergo kan piphans flyve! x. (Bi(x) Fl(x)), Bi(piphans) = Fl(piphans) 5 Propositional Logic Hvis det er tirsdag er der dberlog undervisning, og der er dberlog undervisning ergo det er tirsdag! Tir dbl, dbl = Tir Hvis det er tirsdag er der dberlog undervisning, og der ikke dberlog undervisning ergo det er ikke tirsdag! Tir dbl, dbl = Tir 6

3 Propositional Logic - syntax Propositional variables p, q, r,... Propositional formulas A ::= F T p q r... A A A A A A A 7 Propositional logic - semantics, example p p q 8 Propositional logic - semantics, example p T p T q F 9

4 Propositional logic - semantics, example F p T T p T q F 10 Propositional logic - semantics, example F T p T T p T q F 11 Propositional logic - semantics, example F F T p T T p T q F 12

5 Propositional logic - semantics, example T T T p F T p F q F 13 Propositional logic - semantics, example F T F p F F p F T T 14 Propositional Logic - semantics, formally Semantics of a variable is a value from {T, F} Semantics of a formula over p 1, p 2,.., p n is a function ((p 1 {T, F})... ((p n {T, F})) {T, F} defined by the following truth tables 15

6 Propositional logic - truth tables, A B A B T T T T F T F T T F F F A B A B T T T T F F F T F F F F 16 Propositional logic - truth tables, A B A B T T T T F F F T T F F T A T F A F T T F T F 17 Propositional logic - semantics, example p q p ( q p) T T F T F F F T F F F T 18

7 Logical Circuits - building blocks A B A B A B A B A A 19 Logical Circuits - example A B 20 Semantic consequence and tautology - definitions A 1... A n = B (B is a logical consequence of A 1,... A n ) iff B evaluates to T whenever A 1, A 2,... A n evaluate to T Examples p q, p = q p, p q = p q A is said to be valid (or a tautology) iff = A Examples = p p = (p q) p 21

8 Logical equivalence Definition Two formulae A and B are said to be logically equivalent, A B, iff they define the same truth table Examples A A A B ( A B) 22 Expressibility Exercise All truth tables can be expressed in propositional logic Theorem All truth tables can be expressed by the operators and Proof 23 Expressibility Exercise All truth tables can be expressed in propositional logic Theorem All truth tables can be expressed by the operators and Proof A B ( A) B 24

9 Expressibility Exercise All truth tables can be expressed in propositional logic Theorem All truth tables can be expressed by the operators and Proof A B ( A) B A B ( A B) 25 Expressibility Exercise: all truth tables can be expressed in propositional logic Theorem All truth tables can be expressed by the operator (Sheffer stroke / nand-gate) defined by the following truth table A B A B T T F T F T F T T F F T 26 Todays programme: Propositional Logic Familiarity with basic terminology of logics Syntax, logical connectives Semantics: models, truth, validity, logical consequence Proof systems: deductions, deductive consequence, theorems Soundness and completeness Describe propositional logic and some of its basic properties Semantics: truth tables Axiomatic proof system AL and its deductions Soundness and completeness of AL 27

10 Axiomatic Proof System - definition A set of well formed formulae (A, B,.. ) wff A set of axioms Ax wff A set of deduction rules: A 1, A 2,, A n (premises) B (consequence) 28 Axiomatic Proof System AL for Propositional Logic A set of well formed formulae (A, B,.. ) wff well formed formulae of propositional logic over and A set of axioms Ax wff Ax1 A ( B A) Ax2 (A ( B C)) ((A B) (A C)) Ax3 ( A B) (B A) A set of deduction rules: Modus ponens MP: A, A B B 29 AL deduction - example TI 1. B C Hyp 2. (B C) ( A (B C) Ax1 3. A (B C) MP 1, 2 4. A (B C) (A B) (A C) Ax2 5. (A B) (A C) MP 3, 4 6. A B Hyp 7. A C MP 5, 6 Conclude: {A B, B C} - A C 30

11 Axiomatic Proof System - Deduction A deduction is a sequence of well formed formulae A 1, A 2,., A n such that for all i, n i 1, either: (a) A i is an axiom instance or (b) A i is a hypothesis (from a set of formulae H) (c) A i is derived by an deduction rule using formulae A j where j < i as premises A n is a deductive consequence of H, H - A n where H is the set of hypotheses used in the deduction A is a theorem iff Ø - A (notation: - A ) 31 AL deduction - example 1. A ((B A) A) Ax1 2. (A ((B A) A)) ((A (B A)) (A A)) Ax2 3. (A (B A)) (A A) MP 1, 2 4. A (B A) Ax1 5. A A MP 3, 4 32 Meta theorems A A A (A B) (B C) ((A B} (A C)) (TI) A A ( A A) A A ( B (A B) (B A) (( B A) A) 33

12 Deduction Theorem for AL Theorem 4.6 If H {A} - B then H - A B Theorem 4.7 If H - A B then H {A} - B 34 Todays programme: Propositional Logic Familiarity with basic terminology of logics Syntax, logical connectives Semantics: models, truth, validity, logical consequence Proof systems: deductions, deductive consequence, theorems Soundness and completeness Describe propositional logic and some of its basic properties Semantics: truth tables Axiomatic proof system AL and its deductions Soundness and completeness of AL 35 Proofs and semantics - fundamental definitions An axiomatic proof system for - is said to be sound for = iff for all formulae A: if - A then = A An axiomatic proof system for - is said to be complete for = iff for all formulae A: if = A then - A An axiomatic proof system for - is said to be consistent iff for all formulae A it is not the case that ( - A and - A) 36

13 Prop. Logic - soundness and completeness Theorem The axiomatic proof system AL for propositional logic is sound and complete! 37 Soundness proof Theorem 4.11 For all wff s A, if - A then = A Proof: Induction in lengths of proofs Induction hypothesis: IH(k) = for all proofs of - A with a proof of length k, it is the case that = A 38 Completeness proof I Theorem 4.19 For all wff s A, if = A then - A Lemma I Let A be a formula with atoms {p 1, p 2,..p n }. Let l be a line in A s truth table, and let p i, be p i if the entry of p i in line l is T, otherwise p i is p i. Then p 1, p 2,.., p n - A is provable if the entry for A in line l is T p 1, p 2,.., p n - A is provable if the entry for A in line l is F 39

14 Meta theorems A A A (A B) (B C) ((A B} (A C)) (TI) A A ( A A) A A ( B (A B) (B A) (( B A) A) 40 Completeness proof II Theorem 4.19 For all wff s A, if = A then - A Lemma II Let A be a valid formula with atoms {p 1, p 2,..p n }. From the two deductive consequences from Lemma I p 1, p 2,..,p n-1, p n - A p 1, p 2,..,p n-1, p n - A we can construct the deductive consequence p 1, p 2,.., p n-1 - A 41 Deduction Theorem for AL Theorem 4.6 If H {A} - B then H - A B Theorem 4.7 If H - A B then H {A} - B 42

15 Meta theorems A A A (A B) (B C) ((A B} (A C)) (TI) A A ( A A) A A ( B (A B) (B A) (( B A) A) 43 Validity in propositional logic Validity problem for propositional logic: Given a propositional logic formula A, is A valid, i.e. = A? Theorem The validity problem for popositional logic is decidable Proof 44 Validity in propositional logic Validity problem for propositional logic: Given a propositional logic formula A, is A valid, i.e. = A? Theorem The validity problem for popositional logic is decidable Proof Easy - construct truth table! Corollary: The set of valid formulas in propositional logic is recursive 45

16 Exercises Describe the semantics of propositional logic Kelly page 14: 1.10 (i)-(ii): expressibility of nor and nand Kelly page 25: 1 (i)-(v), 2, 5 (i)-(ii), 6, 7: truth tables Describe and construct deductions in AL Kelly page 92-93: 2 (i)-(ii), 3 (iv)-(v) Analyze proof of completeness of AL Kelly page 90: dberlog exam 2008 Oral exam 20 minutes - without preparation time Grading (10-scale) Internal examiners Two questions: Computability Logic 47 dberlog Compulsory Assignments 2008 Write manuscripts for a 15 minutes exam presentation for each of the two exam questions: Computability and Logic 2-3 pages each dberlog curriculum follows from dberlog home page - Weekly Schedules (will appear under Final Exam later) First assignment: Computability Hand in to your tutor during classes in week 39 (starting September 22) 48

17 dberlog Compulsory Assignments 2008 Your assignment contains at least: an outline of the presentation brief argumentation for choices made indications of levels in the dberlog learning taxonomy: to be familiar with the basic terminology for computability and logic to describe basic computability classes and fundamental logics to describe basic properties of computability classes and logics to explain constructive/algorithmic approaches to computability classes and logics to analyse and to prove properties of computability classes and logics 49 Next week: Predicate Logic Sten kan ikke flyve og morlille kan ikke flyve ergo er morlille en sten! x. (St(x) Fl(x)), Fl(morlille) = St(morlille) Fugle kan flyve og piphans er en fugl ergo kan piphans flyve! x. (Bi(x) Fl(x)), Bi(piphans) = Fl(piphans) 50 Prolog Predicate logic x. (Bi(x) Fl(x)), Bi(piphans) = Fl(piphans) Prolog Fl(X) :- Bi(X). Bi (piphans). FL(piphans)? 51

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