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First-Order Logic

First-Order Logic
FirstOrder Logic www.ThesisScientist.comLimitations of propositional logic • So far we studied propositional logic • Some English statements are hard to model in propositional logic: • “If your roommate is wet because of rain, your roommate must not be carrying any umbrella” • Pathetic attempt at modeling this: • RoommateWetBecauseOfRain = (NOT(RoommateCarryingUmbrella0) AND NOT(RoommateCarryingUmbrella1) AND NOT(RoommateCarryingUmbrella2) AND …) www.ThesisScientist.comProblems with propositional logic • No notion of objects • No notion of relations among objects • RoommateCarryingUmbrella0 is instructive to us, suggesting – there is an object we call Roommate, – there is an object we call Umbrella0, – there is a relationship Carrying between these two objects • Formally, none of this meaning is there – Might as well have replaced RoommateCarryingUmbrella0 by P www.ThesisScientist.comElements of firstorder logic • Objects: can give these names such as Umbrella0, Person0, John, Earth, … • Relations: Carrying(., .), IsAnUmbrella(.) – Carrying(Person0, Umbrella0), IsUmbrella(Umbrella0) – Relations with one object = unary relations = properties • Functions: Roommate(.) – Roommate(Person0) • Equality: Roommate(Person0) = Person1 www.ThesisScientist.comThings to note about functions • It could be that we have a separate name for Roommate(Person0) • E.g., Roommate(Person0) = Person1 • … but we do not need to have such a name • A function can be applied to any object • E.g., Roommate(Umbrella0) www.ThesisScientist.comReasoning about many objects at once • Variables: x, y, z, … can refer to multiple objects • New operators “for all” and “there exists” – Universal quantifier and existential quantifier • for all x: CompletelyWhite(x) = NOT(PartiallyBlack(x)) – Completely white objects are never partially black • there exists x: PartiallyWhite(x) AND PartiallyBlack(x) – There exists some object in the world that is partially white and partially black www.ThesisScientist.comPractice converting English to firstorder logic • “John has Jane’s umbrella” • Has(John, Umbrella(Jane)) • “John has an umbrella” • there exists y: (Has(John, y) AND IsUmbrella(y)) • “Anything that has an umbrella is not wet” • for all x: ((there exists y: (Has(x, y) AND IsUmbrella(y))) = NOT(IsWet(x))) • “Any person who has an umbrella is not wet” • for all x: (IsPerson(x) = ((there exists y: (Has(x, y) AND IsUmbrella(y))) = NOT(IsWet(x)))) www.ThesisScientist.comMore practice converting English to firstorder logic • “John has at least two umbrellas” • there exists x: (there exists y: (Has(John, x) AND IsUmbrella(x) AND Has(John, y) AND IsUmbrella(y) AND NOT(x=y)) • “John has at most two umbrellas” • for all x, y, z: ((Has(John, x) AND IsUmbrella(x) AND Has(John, y) AND IsUmbrella(y) AND Has(John, z) AND IsUmbrella(z)) = (x=y OR x=z OR y=z)) www.ThesisScientist.comEven more practice converting English to firstorder logic… • “Duke’s basketball team defeats any other basketball team” • for all x: ((IsBasketballTeam(x) AND NOT(x=BasketballTeamOf(Duke))) = Defeats(BasketballTeamOf(Duke), x)) • “Every team defeats some other team” • for all x: (IsTeam(x) = (there exists y: (IsTeam(y) AND NOT(x=y) AND Defeats(x,y))))More realistically… • “Any basketball team that defeats Duke’s basketball team in one year will be defeated by Duke’s basketball team in a future year” • for all x,y: (IsBasketballTeam(x) AND IsYear(y) AND DefeatsIn(x, BasketballTeamOf(Duke), y)) = there exists z: (IsYear(z) AND IsLaterThan(z,y) AND DefeatsIn(BasketballTeamOf(Duke), x, z)) www.ThesisScientist.comIs this a tautology • “Property P implies property Q, or propery P implies property Q (or both)” • for all x: ((P(x) = Q(x)) OR (Q(x) = P(x))) • (for all x: (P(x) = Q(x)) OR (for all x: (Q(x) = P(x))) www.ThesisScientist.comRelationship between universal and existential • for all x: a • is equivalent to • NOT(there exists x: NOT(a)) www.ThesisScientist.comSomething we cannot do in firstorder logic • We are not allowed to reason in general about relations and functions • The following would correspond to higherorder logic (which is more powerful): • “If John is Jack’s roommate, then any property of John is also a property of Jack’s roommate” • (John=Roommate(Jack)) = for all p: (p(John) = p(Roommate(Jack))) • “If a property is inherited by children, then for any thing, if that property is true of it, it must also be true for any child of it” • for all p: (IsInheritedByChildren(p) = (for all x, y: ((IsChildOf(x,y) AND p(y)) = p(x)))) www.ThesisScientist.comAxioms and theorems • Axioms: basic facts about the domain, our “initial” knowledge base • Theorems: statements that are logically derived from axioms www.ThesisScientist.comSUBST • SUBST replaces one or more variables with something else • For example: – SUBST(x/John, IsHealthy(x) = NOT(HasACold(x))) gives us – IsHealthy(John) = NOT(HasACold(John)) www.ThesisScientist.comInstantiating quantifiers • From • for all x: a • we can obtain • SUBST(x/g, a) • From • there exists x: a • we can obtain • SUBST(x/k, a) • where k is a constant that does not appear elsewhere in the knowledge base (Skolem constant) • Don’t need original sentence anymoreInstantiating existentials after universals • for all x: there exists y: IsParentOf(y,x) • WRONG: for all x: IsParentOf(k, x) • RIGHT: for all x: IsParentOf(k(x), x) • Introduces a new function (Skolem function) • … again, assuming k has not been used previously www.ThesisScientist.comGeneralized modus ponens • for all x: Loves(John, x) – John loves every thing • for all y: (Loves(y, Jane) = FeelsAppreciatedBy(Jane, y)) – Jane feels appreciated by every thing that loves her • Can infer from this: • FeelsAppreciatedBy(Jane, John) • Here, we used the substitution x/Jane, y/John – Note we used different variables for the different sentences • General UNIFY algorithms for finding a good substitution www.ThesisScientist.comKeeping things as general as possible in unification • Consider EdibleByWith – e.g., EdibleByWith(Soup, John, Spoon) – John can eat soup with a spoon • for all x: for all y: EdibleByWith(Bread, x, y) – Anything can eat bread with anything • for all u: for all v: (EdibleByWith(u, v, Spoon) = CanBeServedInBowlTo(u,v)) – Anything that is edible with a spoon by something can be served in a bowl to that something • Substitution: x/z, y/Spoon, u/Bread, v/z • Gives: for all z: CanBeServedInBowlTo(Bread, z) • Alternative substitution x/John, y/Spoon, u/Bread, v/John would only have given CanBeServedInBowlTo(Bread, John), which is not as generalResolution for firstorder logic • for all x: (NOT(Knows(John, x)) OR IsMean(x) OR Loves(John, x)) – John loves everything he knows, with the possible exception of mean things • for all y: (Loves(Jane, y) OR Knows(y, Jane)) – Jane loves everything that does not know her • What can we unify What can we conclude • Use the substitution: x/Jane, y/John • Get: IsMean(Jane) OR Loves(John, Jane) OR Loves(Jane, John) • Complete (i.e., if not satisfiable, will find a proof of this), if we can remove literals that are duplicates after unification – Also need to put everything in canonical form firstNotes on inference in firstorder logic • Deciding whether a sentence is entailed is semidecidable: there are algorithms that will eventually produce a proof of any entailed sentence • It is not decidable: we cannot always conclude that a sentence is not entailed informal statement of) Gödel’s Incompleteness Theorem • Firstorder logic is not rich enough to model basic arithmetic • For any consistent system of axioms that is rich enough to capture basic arithmetic (in particular, mathematical induction), there exist true sentences that cannot be proved from those axioms www.ThesisScientist.comA more challenging exercise • Suppose: – There are exactly 3 objects in the world, – If x is the spouse of y, then y is the spouse of x (spouse is a function, i.e., everything has a spouse) • Prove: – Something is its own spouse www.ThesisScientist.comMore challenging exercise • there exist x, y, z: (NOT(x=y) AND NOT(x=z) AND NOT (y=z)) • for all w, x, y, z: (w=x OR w=y OR w=z OR x=y OR x=z OR y=z) • for all x, y: ((Spouse(x)=y) = (Spouse(y)=x)) • for all x, y: ((Spouse(x)=y) = NOT(x=y)) (for the sake of contradiction) • Try to do this on the board… www.ThesisScientist.comUmbrellas in firstorder logic • You know the following things: – You have exactly one other person living in your house, who is wet – If a person is wet, it is because of the rain, the sprinklers, or both – If a person is wet because of the sprinklers, the sprinklers must be on – If a person is wet because of rain, that person must not be carrying any umbrella – There is an umbrella that “lives in” your house, which is not in its house – An umbrella that is not in its house must be carried by some person who lives in that house – You are not carrying any umbrella • Can you conclude that the sprinklers are on www.ThesisScientist.comTheorem prover on the web • (use DocProof option) • beginproblem(TinyProblem). • listofdescriptions. • name(TinyProblem). • author(Vincent Conitzer). • status(unknown). • description(Just a test). • endoflist. • listofsymbols. • predicates(F,1),(G,1). • endoflist. • listofformulae(axioms). • formula(exists(U,F(U))). • formula(forall(V,implies(F(V),G(V)))). • endoflist. • listofformulae(conjectures). • formula(exists(W,G(W))). • endoflist. • endproblem.Theorem prover on the web… • beginproblem(ThreeSpouses). • listofdescriptions. • name(ThreeSpouses). • author(Vincent Conitzer). • status(unknown). • description(Three Spouses). • endoflist. • listofsymbols. • functionsspouse. • endoflist. • listofformulae(axioms). • formula(exists(X,exists(Y,exists(Z,and(not(equal(X,Y)),and(not(equal(X,Z)),not(equal(Y,Z)))))))). • formula(forall(W,forall(X,forall(Y,forall(Z,or(equal(W,X),or(equal(W,Y),or(equal(W,Z),or(equal( X,Y),or(equal(X,Z),equal(Y,Z))))))))))). • formula(forall(X,forall(Y,implies(equal(spouse(X),Y),equal(spouse(Y),X))))). • endoflist. • listofformulae(conjectures). • formula(exists(X,equal(spouse(X),X))). • endoflist. • endproblem.Theorem prover on the web… • beginproblem(TwoOrThreeSpouses). • listofdescriptions. • name(TwoOrThreeSpouses). • author(Vincent Conitzer). • status(unknown). • description(TwoOrThreeSpouses). • endoflist. • listofsymbols. • functionsspouse. • endoflist. • listofformulae(axioms). • formula(exists(X,exists(Y,not(equal(X,Y))))). • formula(forall(W,forall(X,forall(Y,forall(Z,or(equal(W,X),or(equal(W,Y),or(equal(W,Z),or(equal( X,Y),or(equal(X,Z),equal(Y,Z))))))))))). • formula(forall(X,forall(Y,implies(equal(spouse(X),Y),equal(spouse(Y),X))))). • endoflist. • listofformulae(conjectures). • formula(exists(X,equal(spouse(X),X))). • endoflist. • endproblem.Theorem prover on the web… • beginproblem(Umbrellas). • listofdescriptions. • name(Umbrellas). • author(CPS270). • status(unknown). • description(Umbrellas). • endoflist. • listofsymbols. • functions(House,1),(You,0). • predicates(Person,1),(Wet,1),(WetDueToR,1),(WetDueToS,1),(SprinklersOn,0),(Umbrella,1),(Carrying,2),(NotAtHome,1). • endoflist. • listofformulae(axioms). • formula(forall(X,forall(Y,implies(and(Person(X),and(Person(Y),and(not(equal(X,You)),and(not(equal(Y,You)),and(equal(House(X),House(You)),equal(House(Y),House( You))))))),equal(X,Y))))). • formula(exists(X,and(Person(X),and(equal(House(You),House(X)),and(not(equal(X,You)),Wet(X)))))). • formula(forall(X,implies(and(Person(X),Wet(X)),or(WetDueToR(X),WetDueToS(X))))). • formula(forall(X,implies(and(Person(X),WetDueToS(X)),SprinklersOn))). • formula(forall(X,implies(and(Person(X),WetDueToR(X)),forall(Y,implies(Umbrella(Y),not(Carrying(X,Y))))))). • formula(exists(X,and(Umbrella(X),and(equal(House(X),House(You)),NotAtHome(X))))). • formula(forall(X,implies(and(Umbrella(X),NotAtHome(X)),exists(Y,and(Person(Y),and(equal(House(X),House(Y)),Carrying(Y,X))))))). • formula(forall(X,implies(Umbrella(X),not(Carrying(You,X))))). • endoflist. • listofformulae(conjectures). • formula(SprinklersOn). • endoflist. • endproblem.Applications • Some serious novel mathematical results proved • Verification of hardware and software – Prove outputs satisfy required properties for all inputs • Synthesis of hardware and software – Try to prove that there exists a program satisfying such and such properties, in a constructive way • Also: contributions to planning (up next)
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