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Truth-conditional semantics

Truth-conditional semantics is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Truth-conditional semantics rather than just read about it. In short: Truth-conditional semantics is an approach to semantics of natural language that sees meaning (or at least the meaning of assertions) as being the same as, or reducible to, their truth conditions. This approach to semantics is principally associated with Donald Davidson, and attempts to carry out for the semantics of natural language what Tarski's semantic theory of truth achieves for the semantics of logic.

Key takeaways

  • Truth-conditional semantics belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Truth-conditional semantics to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Truth-conditional semantics from memory before moving on to harder problems.

Reference excerpt

Truth-conditional semantics is an approach to semantics of natural language that sees meaning (or at least the meaning of assertions) as being the same as, or reducible to, their truth conditions. This approach to semantics is principally associated with Donald Davidson, and attempts to carry out for the semantics of natural language what Tarski's semantic theory of truth achieves for the semantics of logic. Truth-conditional theories of semantics attempt to define the meaning of a given proposition by explaining when the sentence is true. So, for example, because 'snow is white' is true if and only if snow is white, the meaning of 'snow is white' is snow is white.

History

The first truth-conditional semantics was developed by Donald Davidson in Truth and Meaning (1967). It applied Tarski's semantic theory of truth to a problem it was not intended to solve, that of giving the meaning of a sentence.

Criticism

Refutation from necessary truths Scott Soames has harshly criticized truth-conditional semantics on the grounds that it is either wrong or uselessly circular. Under its traditional formulation, truth-conditional semantics gives every necessary truth precisely the same meaning, for all of them are true under precisely the same conditions (namely, all of them). And since the truth conditions of any unnecessarily true sentence are equivalent to the conjunction of those truth conditions and any necessary truth, any sentence means the same as its meaning plus a necessary truth. For example, if "snow is white" is true if and only if snow is white, then it is trivially the case that "snow is white" is true if and only if snow is white and 2+2=4, therefore under truth-conditional semantics "snow is white" means both that snow is white and that 2+2=4. Soames argues further that reformulations that attempt to account for this problem must beg the question. In specifying precisely which of the infinite number of truth-conditions for a sentence will count towards its meaning, one must take the meaning of the sentence as a guide. However, we wanted to specify meaning with truth-conditions, whereas now we are specifying truth-conditions with meaning, rendering the entire process fruitless.

Refutation from deficiency Michael Dummett (1975) has objected to Davidson's program on the grounds that such a theory of meaning will not explain what it is a speaker has to know in order for them to understand a sentence. Dummett believes a speaker must know three components of a sentence to understand its meaning: a theory of sense, indicating the part of the meaning that the speaker grasps; a theory of reference, which indicates what claims about the world are made by the sentence, and a theory of force, which indicates what kind of speech act the expression performs. Dummett further argues that a theory based on inference, such as proof-theoretic semantics, provides a better foundation for this model than truth-conditional semantics does.

Pragmatic intrusion Some authors working within the field of pragmatics have argued that linguistic meaning, understood as the output of a purely formal analysis of a sentence-type, underdetermines truth-conditions. These authors, sometimes labeled 'contextualists', argue that the role of pragmatic processes is not just pre-semantic (disambiguation or reference assignment) or post-semantic (drawing implicatures, determining speech acts), but is also key to determining the truth-conditions of an utterance. That is why some contextualists prefer to talk about 'truth-conditional pragmatics' instead of semantics.

See also Formal semantics Montague grammar Proof-theoretic semantics Dynamic semantics Inquisitive semantics Alfred Tarski

Notes

References M. A. E. Dummett (1975). ‘What is a Theory of Meaning’. In S. Guttenplan (ed.), Mind and Language, CUP. Reprinted in Dummett, The Seas of Language, OUP, 1993.

Worked examples

Example 1 — a first encounter with Truth-conditional semantics

Start with the simplest possible case. Write down what Truth-conditional semantics claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Truth-conditional semantics before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Truth-conditional semantics ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Truth-conditional semantics

In research
Truth-conditional semantics appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Truth-conditional semantics in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Truth-conditional semantics is common in secondary-school and first-year university syllabi. It links to neighbouring topics Formal semantics (natural language), Meaning (philosophy), Semantics, so understanding it makes those chapters shorter.
In everyday life
Look for Truth-conditional semantics outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Truth-conditional semantics in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Truth-conditional semantics means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Truth-conditional semantics out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Truth-conditional semantics in simple terms?

Truth-conditional semantics is an approach to semantics of natural language that sees meaning (or at least the meaning of assertions) as being the same as, or reducible to, their truth conditions. This approach to semantics is principally associated with Donald Davidson, and attempts to carry out f…

Why does Truth-conditional semantics matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Truth-conditional semantics?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Truth-conditional semantics.

Tags

  • Formal semantics (natural language)
  • Meaning (philosophy)
  • Semantics

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