First-order logic expands on propositional logic by introducing predicates, variables, and quantifiers. These tools allow us to express more complex statements about objects and their relationships, bridging the gap between natural language and formal reasoning.
Despite its power, first-order logic has limitations. It can't handle higher-order concepts or self-referential statements, which led to the development of more advanced logics. These limitations also sparked investigations into incompleteness and undecidability in formal systems.
First-Order Logic
Predicates and quantifiers in first-order logic
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First-order logic (FOL) extends propositional logic by introducing:
Predicates: Functions that take one or more arguments and return a truth value
P ( x ) P(x) P ( x ) could represent "x is a prime number"
Variables: Symbols representing objects in the domain of discourse
Quantifiers: Symbols that specify the quantity of objects satisfying a predicate
Universal quantifier (∀ \forall ∀ ): Represents "for all" or "for every"
∀ x P ( x ) \forall x P(x) ∀ x P ( x ) means "for all x, P(x) is true"
Existential quantifier (∃ \exists ∃ ): Represents "there exists" or "for some"
∃ x P ( x ) \exists x P(x) ∃ x P ( x ) means "there exists an x such that P(x) is true"
Translation between natural language and logic
Translating natural language statements into FOL formulas:
Identify the predicates, variables, and quantifiers in the statement
Construct the formula using logical connectives (∧ \land ∧ , ∨ \lor ∨ , → \rightarrow → , ↔ \leftrightarrow ↔ , ¬ \neg ¬ )
"All humans are mortal" can be translated to ∀ x ( H ( x ) → M ( x ) ) \forall x (H(x) \rightarrow M(x)) ∀ x ( H ( x ) → M ( x )) , where H ( x ) H(x) H ( x ) means "x is a human" and M ( x ) M(x) M ( x ) means "x is mortal"
Translating FOL formulas into natural language statements:
Identify the predicates, variables, and quantifiers in the formula
Construct the natural language statement by interpreting the logical connectives and quantifiers
∃ x ( P ( x ) ∧ Q ( x ) ) \exists x (P(x) \land Q(x)) ∃ x ( P ( x ) ∧ Q ( x )) can be translated to "There exists an x such that P(x) and Q(x) are both true"
Truth values in first-order logic
An interpretation or model assigns meanings to the predicates and specifies the domain of discourse
To evaluate the truth value of a FOL formula:
Substitute the variables with objects from the domain according to the quantifiers
Evaluate the truth values of the predicates for the given objects
Combine the truth values using the logical connectives
Given the interpretation I = { 1 , 2 , 3 } I = \{1, 2, 3\} I = { 1 , 2 , 3 } and P ( x ) P(x) P ( x ) meaning "x is even", evaluate ∃ x ( P ( x ) ∧ x > 1 ) \exists x (P(x) \land x > 1) ∃ x ( P ( x ) ∧ x > 1 )
The formula is true because there exists an object (2) in the domain that satisfies both P ( x ) P(x) P ( x ) and x > 1 x > 1 x > 1
Limitations of First-Order Logic
Limitations of first-order logic
FOL has limitations in expressing certain concepts:
Higher-order concepts: FOL cannot quantify over predicates or functions
"For every property P, there exists an object x such that P(x)" cannot be expressed in FOL
Self-referential statements: FOL cannot express statements that refer to themselves
"This statement is false" cannot be expressed in FOL
These limitations lead to the development of higher-order logics and the study of incompleteness and undecidability in formal systems