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Implicature and Logical Form

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Conversational ImplicatureFormal Pragmatics and Context+1 more→→Analyzing 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 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 → Set Operations: Union, Intersection, and Complement → Cartesian Products and Relations → Partial Orders → Binary Relations → Equivalence Relations → Injective, Surjective, and Bijective Functions → Lambda Calculus → Lambda Calculus for Linguistic Semantics → Montague Semantics → Formal Pragmatics and Context → Relevance Theory and Pragmatic Inference → Discourse Representation Theory → Discourse Coherence and Rhetorical Relations → Presupposition and the Projection Problem → Implicature and Logical Form

Longest path: 83 steps · 506 total prerequisite topics

Prerequisites (3)

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