A topic in the Open Knowledge Graph — a free, open map of 15,290 topics and the order to learn them in.

Propositions and Semantic Content

College Depth 109 in the knowledge graph ☐ I know this ☆ Set as goal
42topics build on this
561prerequisites beneath it
See this on the map →
First-Order Logic Semantics and StructuresFirst-Order Logic Syntax+2 more→→Semantic Content and ExternalismTruth Conditions and Meaning
semantics propositions truth-value

Core Idea

A proposition is the semantic content of a sentence—what it expresses independently of whether anyone utters it. Propositions are primary bearers of truth-value and are distinct from sentences, since different sentences in different languages can express the same proposition. This distinction is fundamental to semantic theory.

Explainer

From first-order semantics, you have worked with a formal language in which formulas are interpreted over models: a formula like "Fa" is true if the object assigned to "a" falls under the extension assigned to "F." But natural language sentences are not formulas — they are strings of words spoken or written by particular people at particular times. What is it that a sentence expresses, and what makes it true or false? Propositions are the theoretical entities introduced to answer this question.

A proposition is the abstract content that a sentence expresses — the bearer of truth value that is distinct from any particular sentence, speaker, or occasion of utterance. The English sentence "Snow is white," the French "La neige est blanche," and the German "Schnee ist weiß" are three different sentences, but they all express the same proposition: roughly, the claim that snow is white. The proposition is true if snow is white, false otherwise, and this truth condition holds independently of whether anyone utters it, thinks it, or knows about it. This is why propositions are said to be abstract entities — they exist independently of language use, like mathematical objects.

The distinction between sentence and proposition matters immediately for logical and semantic analysis. Two distinct sentence tokens — a sentence written on a chalkboard and the same sentence spoken aloud — express the same proposition. But a single sentence type can express different propositions in different contexts: "I am hungry" expresses a different proposition when you say it versus when I say it, because "I" refers to different people. Indexical expressions like "I," "here," "now," and "this" mean that the same sentence type can have different semantic content on different occasions of use. Propositions are the context-independent contents that result once the referents of all context-sensitive expressions are fixed.

Propositions serve a second crucial function: they are what logical operators operate on. "Not P" is true if and only if proposition P is false. "P and Q" is true if and only if both P and Q are true. For these connectives to have determinate meaning, there must be something — propositions — that the logical operators take as inputs and transform into outputs. Your first-order logic syntax gave you the formal machinery; propositions are the semantic objects that the machinery is about.

There is deep disagreement about what propositions actually are. Russellian propositions are structured entities that contain the actual objects and properties that sentences are about — so the proposition expressed by "Venus is bright" contains Venus itself as a constituent. Fregean propositions (Fregean thoughts) are built from senses rather than referents — they represent the world under modes of presentation. Possible-worlds propositions identify a proposition with the set of possible worlds in which it is true, abstracting away from internal structure. Each theory has different consequences for how compositionality works, how we handle empty names, and what it means for two propositions to be the same. These debates are where semantics meets metaphysics — the study of truth conditions builds toward both truth-conditional theories of meaning and the compositional principle that the meaning of complex expressions is determined by the meanings of their parts.

What did you take from this?

Topics in reflective domains aren't scored by quiz answers. Read, reflect, and mark when you've thought it through.

Quiz me anyway →

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 → A Priori and A Posteriori Knowledge → Rationalism vs. Empiricism → The Problem of Induction → Popper's Falsificationism → Falsifiability as the Criterion of Demarcation → The Falsifiability Criterion and Its Problems → Kuhn's Paradigm Theory → Normal Science and Anomalies → Thomas Kuhn and Paradigm Shifts → Scientific Progress and Convergence to Truth → Scientific Realism → Naturalism About Semantic Facts → Propositions and Semantic Content

Longest path: 110 steps · 561 total prerequisite topics

Prerequisites (4)

Leads To (2)