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Intensionality and Possible Worlds Semantics

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Modal Semantics: Necessity and PossibilityMontague SemanticsEvent Semantics
intensionality possible-worlds modality

Core Idea

Intensional expressions like modals, belief verbs, and conditionals cannot be evaluated purely in the actual world; their truth conditions depend on possible worlds. The meaning of an intensional expression is an intension—a function from possible worlds to extensions. 'It is possible that it rains' is true if there exists a possible world where it rains, even if it is not raining in the actual world.

How It's Best Learned

Represent modal and intensional statements using possible-worlds models, assigning truth values relative to different world states. Examine how the truth of intensional statements depends on accessibility relations between worlds.

Common Misconceptions

Explainer

From your work with Montague semantics, you know that meanings can be treated compositionally as functions: a sentence's meaning is built from the meanings of its parts, with each part denoting something in a model. In standard extensional semantics, a noun phrase denotes a set of individuals, a verb phrase denotes a property, and a sentence denotes a truth value — true or false relative to the actual world. This works well for "The cat is on the mat." But it breaks down for "It is possible that the cat is on the mat" or "Alice believes the cat is on the mat." These are intensional contexts, where the truth of the whole does not depend only on what is actually true.

The problem becomes vivid with substitution. In purely extensional semantics, if "the morning star" and "the evening star" both denote the planet Venus, then replacing one with the other in any sentence should preserve truth. But "John believes the morning star is a planet" can be true while "John believes the evening star is a planet" is false — if John doesn't know they're the same object. The two expressions have the same extension (they pick out the same individual in the actual world) but different intensions (they pick it out via different descriptions, and may pick out different things in other possible worlds). Intensional semantics distinguishes between the two by making meanings functions from possible worlds to extensions: an intension is a function from possible worlds to an extension, not just an extension.

A possible world is a complete way the world could have been — a maximally consistent description of a state of affairs. Modal operators quantify over them: "Necessarily P" means P is true in all accessible possible worlds; "Possibly P" means P is true in at least one. The accessibility relation between worlds determines which worlds count as "possible" relative to a given world — and different kinds of modality (epistemic, deontic, metaphysical) correspond to different accessibility relations. From your prerequisite work on modal semantics, you know this framework; intensionality extends it from modals to the full range of operators that create opaque contexts.

Propositional attitude verbs like *believe*, *want*, *hope*, and *fear* are then analyzed as quantifying over worlds compatible with the subject's mental states. "Alice believes P" is true if P is true in all worlds compatible with what Alice believes — which may exclude some actual facts and include some counterfactual ones. This explains the morning star/evening star asymmetry: Alice's belief worlds may include the morning star being a planet without including the evening star being a planet if she hasn't connected the two. Intensionality is thus not a quirk of a few special constructions — it is pervasive in natural language, appearing in modals, belief verbs, conditionals, and desire predicates, all receiving a unified treatment through possible-worlds semantics.

Practice Questions 5 questions

Prerequisite Chain

Understanding ZeroThe Number ZeroCounting to FiveCounting to 10Counting to 20Counting a Set of Objects Up to 20Cardinality: The Last Number CountedMatching Numerals to QuantitiesSubitizing Small QuantitiesAddition Within 10Number Bonds to 10Addition Within 20Doubles and Near DoublesDoubles Facts Within 10Near Doubles Facts Within 20Mental Math Strategies for AdditionMental Math: Adding and Subtracting TensAddition Within 100Repeated Addition as MultiplicationMultiplication as Equal GroupsMultiplication: ArraysBasic Multiplication Facts (0s, 1s, 2s, 5s, 10s)Multiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Multiplication and Division Fact FamiliesRelationship Between Multiplication and DivisionDivision Facts as Inverse of MultiplicationRemainders and Quotients in DivisionDivision Word ProblemsMulti-Step Word ProblemsSolving Multi-Step Word ProblemsMultiplication Word ProblemsDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueIntegers and the Number LineComparing and Ordering IntegersAbsolute ValueAdding IntegersSubtracting IntegersMultiplying IntegersIntroduction to ExponentsOrder of OperationsInteger Order of OperationsVariable ExpressionsThe Distributive PropertyVariables and Expressions ReviewIntroduction to PolynomialsAdding and Subtracting PolynomialsMultiplying PolynomialsFactorialPermutationsCombinationsCounting Principles: Addition and Multiplication RulesIntroduction to Graph TheoryPropositional Logic FoundationsLogical EquivalencesBoolean AlgebraIntroduction to Propositional LogicIntroduction to Predicate Logic (First-Order Logic)First-Order Logic SyntaxTerms and Atomic Formulas in FOLVariable Binding and ScopeOpen and Closed Formulas in First-Order LogicVariable Substitution and Capture-Avoidance in First-Order LogicQuantifier Instantiation Rules in First-Order Proof SystemsUniversal Quantification: Meaning and ScopeFree Variables and Bound VariablesSubstitution and Instantiation in Predicate LogicTerms and Atomic FormulasFormulas and Well-Formed ExpressionsStructures and InterpretationsModel Interpretation and SatisfactionInterpretation, Truth, and Satisfaction of FormulasLogical Consequence and EntailmentSoundness Theorem and Validity of Proof SystemsDeductive Reasoning and Formal Proof SystemsFirst-Order ResolutionPropositional ResolutionSemantic Tableaux (Propositional)Semantic Tableaux (First-Order)Decidable Fragments of First-Order LogicGödel's Completeness Theorem for First-Order LogicGödel's Incompleteness TheoremsIntroduction to Intuitionistic LogicIntroduction to Modal LogicModal Semantics: Necessity and PossibilityIntensionality and Possible Worlds Semantics

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