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Implicature and Logical Form

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Conversational ImplicatureFormal Pragmatics and Context+1 moreAnalyzing Irony: Types, Function, and EffectCharacter Motivation and Psychological Believability+3 more
pragmatics implicature semantics

Core Idea

Conversational implicatures arise from Grice's maxim violations and depend on logical form. 'Some students passed' conversationally implicates 'not all passed' (scalar implicature). Formal semantics distinguishes logical form (semantic content, where 'some' is existentially quantified) from pragmatic enrichment (why a speaker chose 'some' over 'all'). This distinction unifies semantic and pragmatic phenomena under a rigorous framework.

Explainer

You've already studied Grice's cooperative principle and the four conversational maxims (quantity, quality, relation, manner) that generate implicatures from apparent maxim violations. And you've worked with formal pragmatics — the project of modeling context, information state, and common ground in formal terms. This topic asks how those two frameworks interact: what is the relationship between the logical form of an utterance (what it strictly and literally means, in a truth-conditional sense) and the pragmatic inferences it generates?

The logical form of a sentence is its semantic content — the proposition it expresses, evaluable for truth or falsity against a model. "Some students passed" has the logical form ∃x[student(x) ∧ passed(x)]: there exists at least one thing that is a student and passed. Notice that this is consistent with *all* students passing — the existential quantifier sets a floor, not a ceiling. Yet when you hear "Some students passed," you typically infer that not all students passed. This is a scalar implicature, arising from the maxim of quantity: the speaker said "some" when she could have said "all"; since she knows which, and didn't say "all," she must not believe "all" is true.

The key theoretical point is that the scalar implicature is pragmatic enrichment, not part of the logical form. The truth-conditional content of "some" is just "at least one." The "not all" inference is generated by reasoning about why a cooperative speaker chose this expression from a Horn scale — an ordered set of alternatives ⟨some, most, all⟩ where stronger forms asymmetrically entail weaker ones. Using a weaker form implicates that stronger forms do not apply. This analysis extends beyond quantifiers: "or" implicates "not both" (from ⟨or, and⟩), "possible" implicates "not certain" (from ⟨possible, probable, certain⟩), "warm" implicates "not hot." Each case follows the same pattern: the speaker chose a weaker term when a stronger one was available, implicating that the stronger term does not hold.

The formal-pragmatic perspective makes clear why distinguishing logical form from pragmatic enrichment matters. Scalar implicatures are cancellable without contradiction: "Some students passed — in fact, all of them did" is perfectly coherent. Semantic entailments are not cancellable: "All students passed — in fact, some didn't" is a logical contradiction. This cancellability test is the diagnostic: if you can felicitously add "in fact, more strongly..." without contradiction, the inference is pragmatic, not semantic. Game-theoretic and Optimality-Theoretic approaches to pragmatics now formalize this reasoning as rational inference about speaker choices, giving Grice's informal maxims a precise computational interpretation and connecting implicature theory rigorously to the truth-conditional logical form tradition.

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 EquivalencesSet Operations: Union, Intersection, and ComplementCartesian Products and RelationsPartial OrdersBinary RelationsEquivalence RelationsInjective, Surjective, and Bijective FunctionsLambda CalculusLambda Calculus for Linguistic SemanticsMontague SemanticsFormal Pragmatics and ContextRelevance Theory and Pragmatic InferenceDiscourse Representation TheoryDiscourse Coherence and Rhetorical RelationsPresupposition and the Projection ProblemImplicature and Logical Form

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