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Introduction to Artificial Intelligence First-Order Logic

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Introduction to Artificial Intelligence First-Order Logic Introduction to Artificial Intelligence First-order Logic (Logic, Deduction, Knowledge Representation) Bernhard Beckert UNIVERSITÄT KOBLENZ-LANDAU Wintersemester 2003/2004 B. Beckert: Einführung in die KI / KI für IM – p.1 Outline Why first-order logic? Syntax and semantics of first-order logic Fun with sentences Wumpus world in first-order logic B. Beckert: Einführung in die KI / KI für IM – p.2 Propositional logic allows partial / disjunctive / negated information (unlike most data structures and databases) Propositional logic is compositional: meaning of B1;1 ^ P1;2 is derived from meaning of B1;1 and of P1;2 Meaning in propositional logic is context-independent (unlike natural language, where meaning depends on context) Propositional logic has very limited expressive power (unlike natural language) Example: Cannot say “pits cause breezes in adjacent squares” except by writing one sentence for each square Pros and Cons of Propositional Logic Propositional logic is declarative: pieces of syntax correspond to facts B. Beckert: Einführung in die KI / KI für IM – p.3 Propositional logic is compositional: meaning of B1;1 ^ P1;2 is derived from meaning of B1;1 and of P1;2 Meaning in propositional logic is context-independent (unlike natural language, where meaning depends on context) Propositional logic has very limited expressive power (unlike natural language) Example: Cannot say “pits cause breezes in adjacent squares” except by writing one sentence for each square Pros and Cons of Propositional Logic Propositional logic is declarative: pieces of syntax correspond to facts Propositional logic allows partial / disjunctive / negated information (unlike most data structures and databases) B. Beckert: Einführung in die KI / KI für IM – p.3 Meaning in propositional logic is context-independent (unlike natural language, where meaning depends on context) Propositional logic has very limited expressive power (unlike natural language) Example: Cannot say “pits cause breezes in adjacent squares” except by writing one sentence for each square Pros and Cons of Propositional Logic Propositional logic is declarative: pieces of syntax correspond to facts Propositional logic allows partial / disjunctive / negated information (unlike most data structures and databases) Propositional logic is compositional: meaning of B1;1 ^ P1;2 is derived from meaning of B1;1 and of P1;2 B. Beckert: Einführung in die KI / KI für IM – p.3 Propositional logic has very limited expressive power (unlike natural language) Example: Cannot say “pits cause breezes in adjacent squares” except by writing one sentence for each square Pros and Cons of Propositional Logic Propositional logic is declarative: pieces of syntax correspond to facts Propositional logic allows partial / disjunctive / negated information (unlike most data structures and databases) Propositional logic is compositional: meaning of B1;1 ^ P1;2 is derived from meaning of B1;1 and of P1;2 Meaning in propositional logic is context-independent (unlike natural language, where meaning depends on context) B. Beckert: Einführung in die KI / KI für IM – p.3 Pros and Cons of Propositional Logic Propositional logic is declarative: pieces of syntax correspond to facts Propositional logic allows partial / disjunctive / negated information (unlike most data structures and databases) Propositional logic is compositional: meaning of B1;1 ^ P1;2 is derived from meaning of B1;1 and of P1;2 Meaning in propositional logic is context-independent (unlike natural language, where meaning depends on context) Propositional logic has very limited expressive power (unlike natural language) Example: Cannot say “pits cause breezes in adjacent squares” except by writing one sentence for each square B. Beckert: Einführung in die KI / KI für IM – p.3 First-order logic Assumes that the world contains Objects people, houses, numbers, theories, Donald Duck, colors, centuries, ::: Relations red, round, prime, multistoried, ::: brother of, bigger than, part of, has color, occurred after, owns, ::: Functions +, middle of, father of, one more than, beginning of, ::: First-order Logic Propositional logic Assumes that the world contains facts B. Beckert: Einführung in die KI / KI für IM – p.4 Relations red, round, prime, multistoried, ::: brother of, bigger than, part of, has color, occurred after, owns, ::: Functions +, middle of, father of, one more than, beginning of, ::: First-order Logic Propositional logic Assumes that the world contains facts First-order logic Assumes that the world contains Objects people, houses, numbers, theories, Donald Duck, colors, centuries, ::: B. Beckert: Einführung in die KI / KI für IM – p.4 Functions +, middle of, father of, one more than, beginning of, ::: First-order Logic Propositional logic Assumes that the world contains facts First-order logic Assumes that the world contains Objects people, houses, numbers, theories, Donald Duck, colors, centuries, ::: Relations red, round, prime, multistoried, ::: brother of, bigger than, part of, has color, occurred after, owns, ::: B. Beckert: Einführung in die KI / KI für IM – p.4 First-order Logic Propositional logic Assumes that the world contains facts First-order logic Assumes that the world contains Objects people, houses, numbers, theories, Donald Duck, colors, centuries, ::: Relations red, round, prime, multistoried, ::: brother of, bigger than, part of, has color, occurred after, owns, ::: Functions +, middle of, father of, one more than, beginning of, ::: B. Beckert: Einführung in die KI / KI für IM – p.4 Note The equality predicate is always in the vocabulary It is written in infix notation Syntax of First-order Logic: Basic Elements Symbols Constants KingJohn; 2; Koblenz; C;::: Predicates Brother; >; =; ::: Functions Sqrt; LeftLegOf ; ::: Variables x; y; a; b; ::: Connectives ^ _ : ) , Quantifiers 8 9 B. Beckert: Einführung in die KI / KI für IM – p.5 Syntax of First-order Logic: Basic Elements Symbols Constants KingJohn; 2; Koblenz; C;::: Predicates Brother; >; =; ::: Functions Sqrt; LeftLegOf ; ::: Variables x; y; a; b; ::: Connectives ^ _ : ) , Quantifiers 8 9 Note The equality predicate is always in the vocabulary It is written in infix notation B. Beckert: Einführung in die KI / KI für IM – p.5 Term function ( term1; ::: ; termn ) or constant or variable Syntax of First-order Logic: Atomic Sentences Atomic sentence predicate ( term1; ::: ; termn ) or term1 = term2 B. Beckert: Einführung in die KI / KI für IM – p.6 Syntax of First-order Logic: Atomic Sentences Atomic sentence predicate ( term1; ::: ; termn ) or term1 = term2 Term function ( term1; ::: ; termn ) or constant or variable B. Beckert: Einführung in die KI / KI für IM – p.6 Syntax of First-order Logic: Atomic Sentences Example Brother ( KingJohn; RichardTheLionheart ) B. Beckert: Einführung in die KI / KI für IM – p.7 Syntax of First-order Logic: Atomic Sentences Example Brother ( KingJohn; RichardTheLionheart ) | {z } | {z } | {z } predicate constant constant B. Beckert: Einführung in die KI / KI für IM – p.7 Syntax of First-order Logic: Atomic Sentences Example Brother ( KingJohn; RichardTheLionheart ) | {z } | {z } | {z } predicate | constant{z } | constant{z } term term B. Beckert: Einführung in die KI / KI für IM – p.7 Syntax of First-order Logic: Atomic Sentences Example Brother ( KingJohn; RichardTheLionheart ) | {z } | {z } | {z } predicate | constant{z } | constant{z } | term {z term } atomic sentence B. Beckert: Einführung in die KI / KI für IM – p.7 Syntax of First-order Logic: Atomic Sentences Example > ( Length(LeftLegOf (Richard)); Length(LeftLegOf (KingJohn)) ) B. Beckert: Einführung in die KI / KI für IM – p.8 Syntax of First-order Logic: Atomic Sentences Example > ( Length(LeftLegOf (Richard)); Length(LeftLegOf (KingJohn)) ) | {z } | {z } | {z } | {z } | {z } | {z } | {z } predicate function function constant function function constant B. Beckert: Einführung in die KI / KI für IM – p.8 Syntax of First-order Logic: Atomic Sentences Example > ( Length(LeftLegOf (Richard)); Length(LeftLegOf (KingJohn)) ) |{z} | {z } | {z } | {z } | {z } | {z } | {z } predicate |function function{z constant } |function function{z constant } term term B. Beckert: Einführung in die KI / KI für IM – p.8 Syntax of First-order Logic: Atomic Sentences Example > ( Length(LeftLegOf (Richard)); Length(LeftLegOf (KingJohn)) ) |{z} | {z } | {z } | {z } | {z } | {z } | {z } predicate |function function{z constant } |function function{z constant } | term {z term } atomic sentence B. Beckert: Einführung in die KI / KI für IM – p.8 Example Syntax of First-order Logic: Complex Sentences Built from atomic sentences using connectives :S S1 ^ S2 S1 _ S2 S1 ) S2 S1 , S2 (as in propositional logic) B. Beckert: Einführung in die KI / KI für IM – p.9 Syntax of First-order Logic: Complex Sentences Built from atomic sentences using connectives :S S1 ^ S2 S1 _ S2 S1 ) S2 S1 , S2 (as in propositional logic) Example Sibling( KingJohn;Richard ) ) Sibling( Richard;KingJohn ) B. Beckert: Einführung in die KI / KI für IM – p.9 Syntax of First-order Logic: Complex Sentences Built from atomic sentences using connectives :S S1 ^ S2 S1 _ S2 S1 ) S2 S1 , S2 (as in propositional logic) Example Sibling( KingJohn;Richard ) ) Sibling( Richard;KingJohn ) | {z } | {z } | {z } | {z } | {z } | {z } predicate term term predicate term term B. Beckert: Einführung in die KI / KI für IM – p.9 Syntax of First-order Logic: Complex Sentences Built from atomic sentences using connectives :S S1 ^ S2 S1 _ S2 S1 ) S2 S1 , S2 (as in propositional
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