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Intensionality and Possible Worlds Semantics

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Modal Semantics: Necessity and PossibilityMontague Semantics→→Event 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 Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Introduction to Exponents → Order of Operations → Integer Order of Operations → Variable Expressions → The Distributive Property → Variables and Expressions Review → Introduction to Polynomials → Adding and Subtracting Polynomials → Multiplying Polynomials → Factorial → Permutations → Combinations → Counting Principles: Addition and Multiplication Rules → Introduction to Graph Theory → Propositional Logic Foundations → Logical Equivalences → Boolean Algebra → Introduction to Propositional Logic → Introduction to Predicate Logic (First-Order Logic) → First-Order Logic Syntax → Terms and Atomic Formulas in FOL → Variable Binding and Scope → Open and Closed Formulas in First-Order Logic → Variable Substitution and Capture-Avoidance in First-Order Logic → Quantifier Instantiation Rules in First-Order Proof Systems → Universal Quantification: Meaning and Scope → Free Variables and Bound Variables → Substitution and Instantiation in Predicate Logic → Terms and Atomic Formulas → Formulas and Well-Formed Expressions → Structures and Interpretations → Model Interpretation and Satisfaction → Interpretation, Truth, and Satisfaction of Formulas → Logical Consequence and Entailment → Soundness Theorem and Validity of Proof Systems → Deductive Reasoning and Formal Proof Systems → First-Order Resolution → Propositional Resolution → Semantic Tableaux (Propositional) → Semantic Tableaux (First-Order) → Decidable Fragments of First-Order Logic → Gödel's Completeness Theorem for First-Order Logic → Gödel's Incompleteness Theorems → Introduction to Intuitionistic Logic → Introduction to Modal Logic → Modal Semantics: Necessity and Possibility → Intensionality and Possible Worlds Semantics

Longest path: 99 steps · 559 total prerequisite topics

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