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Semantic theory of truth

The semantic theory of truth is a formal framework developed by Polish logician Alfred Tarski in the 1930s and 1940s, which defines truth as a semantic property of sentences in formalized languages through the notion of satisfaction, ensuring a precise and paradox-free account aligned with intuitive understandings of truth.^[1] Tarski's approach addresses longstanding philosophical challenges, particularly the liar paradox, by distinguishing between the object language—the language whose sentences are evaluated for truth—and the metalanguage in which truth is defined, thereby avoiding self-referential paradoxes that arise in semantically closed languages.^[1] Central to the theory is Convention T, or the T-schema, which stipulates that a materially adequate definition of truth must imply, for every sentence S in the object language, an equivalence of the form "'S' is true if and only if p," where p is the translation or content of S (e.g., "'Snow is white' is true if and only if snow is white").^[1] This criterion ensures material adequacy, capturing the Aristotelian intuition that a true sentence corresponds to reality without vagueness, while formal correctness requires the definition to be rigorous, free of contradictions, and applicable only to languages with explicitly specified syntax and semantics.^[1] The theory's construction relies on recursive definitions: truth for atomic sentences is based on satisfaction by objects under predicates, and truth for complex sentences follows compositional rules, such as universal quantification holding when satisfied by all sequences.^[1] Tarski emphasized that such definitions are feasible only for formalized languages, limiting direct application to everyday natural languages but providing a model for semantic analysis.^[1] His work, first outlined in Polish in 1933 and elaborated in English in 1944, profoundly influenced twentieth-century analytic philosophy and logic, shaping discussions on semantics, model theory, and logical consequence within the Vienna Circle and beyond.^[2]

Origins and Historical Development

Precursors in Philosophy and Logic

The semantic theory of truth, as formalized by Alfred Tarski in the 1930s, drew upon earlier philosophical and logical traditions that emphasized the correspondence between language and reality, as well as the role of meaning and reference in determining truth conditions. One foundational precursor is Aristotle's correspondence theory, articulated in his Metaphysics, where truth is defined as the adequation of assertion to fact: "To say of what is that it is not, or of what is not that it is, is false, while to say of what is that it is, or of what is not that it is not, is true" (1011b25).^[3] This classical view posits truth as a relation between a statement and an independent reality, influencing subsequent theories by establishing correspondence as a criterion for semantic adequacy without invoking formal hierarchies.^[4] In the 19th century, Gottlob Frege advanced these ideas through his distinction between Sinn (sense) and Bedeutung (reference), which provided a logical foundation for understanding truth in terms of referential relations. In his seminal 1892 paper "Über Sinn und Bedeutung," Frege argued that the reference of a declarative sentence is its truth value (the True or the False), while its sense is the thought it expresses, thereby linking semantic content to objective conditions that make propositions true or false.^[5] This framework shifted focus from mere correspondence to the compositional structure of meaning, where truth conditions arise from the references of subsentential parts, laying groundwork for modern formal semantics.^[6] Early 20th-century Polish logicians, particularly Stanisław Leśniewski and Tadeusz Kotarbiński, further developed semantic concepts that emphasized nominalistic and referential approaches to meaning, directly shaping Tarski's criteria for truth definitions. Leśniewski's work on protothetic and ontology, including his theory of semantic categories, stressed the precise alignment of linguistic expressions with their referents, rejecting vague or abstract entities in favor of rigorous categorial distinctions.^[7] Kotarbiński's doctrine of reism (or concretism), outlined in his 1929 Elementy teorii poznania, logiki formalnej i metodologii nauk (Elements of the Theory of Knowledge, Formal Logic, and Methodology of the Sciences), advocated a semantic reism where only concrete objects exist and sentences are true if they correctly name or describe such objects, avoiding commitments to abstract "facts" or properties.^[8] These ideas influenced Tarski's insistence on material adequacy and avoidance of metaphysical excesses in semantics.^[9] In analytic philosophy, Bertrand Russell's 1905 theory of descriptions contributed by analyzing propositional truth through the elimination of denoting phrases, revealing underlying logical structures. In "On Denoting," Russell proposed that definite descriptions like "the present King of England" do not refer to entities but function scope-ambiguously in sentences, with truth determined by existential and uniqueness conditions on propositional components.^[10] This approach linked truth to the verifiable structure of propositions, bypassing referential puzzles and emphasizing how language denotes via quantification rather than direct naming..pdf)

Tarski's Formulation in the 1930s

Alfred Tarski first articulated his semantic theory of truth in the 1933 Polish-language monograph Pojęcie prawdy w językach nauk dedukcyjnych (The Concept of Truth in the Languages of Deductive Sciences), published in the proceedings of the Warsaw Scientific Society as part of its mathematical and physical sciences series.^[11] This work, developed from ideas originating around 1929 and presented in lectures as early as 1930, provided a rigorous framework for defining truth in formalized deductive systems.^[11] A German translation appeared in 1935, broadening its reach within European logical circles, while the English version, translated by J. H. Woodger, was included in Tarski's 1956 collection Logic, Semantics, Metamathematics: Papers from 1923 to 1938.^[12] Tarski's formulation arose amid the interwar push for formal precision in logic and philosophy, influenced by the Vienna Circle's advocacy for scientific semantics and the urgent need to circumscribe truth definitions to evade antinomies in set theory and logic, such as those stemming from Russell's paradox.^[11] His interactions with Vienna Circle members, beginning with visits to Vienna in 1930, exposed him to empiricist demands for verifiable semantic concepts, though Tarski emphasized mathematical rigor over physicalist reductions.^[13] This context reflected broader caution following foundational crises in mathematics, prioritizing a deflationary yet adequate notion of truth insulated from self-referential paradoxes.^[11] In 1935, Tarski delivered a pivotal lecture at the First International Congress for the Unity of Science in Paris—organized by Vienna Circle affiliates—outlining his semantic method, which was subsequently published in 1936 as "The Establishment of Scientific Semantics."^[14] This presentation bridged his truth theory with broader semantical foundations, influencing the adoption of "semantics" as a technical term in logic.^[13] Concurrently, Tarski collaborated with Rudolf Carnap, whose Logical Syntax of Language (1934) integrated early semantic elements inspired by Tarski's ideas on satisfaction and analyticity, though Carnap's full embrace of Tarskian semantics occurred later.^[15] Tarski's contributions emerged from the Lwów-Warsaw School, a leading interwar Polish center of logic and philosophy founded by Kazimierz Twardowski, where Tarski worked alongside figures like Jan Łukasiewicz and Stanisław Leśniewski at the University of Warsaw.^[16] This environment fostered rigorous deductive methodologies, positioning Warsaw as a global logic hub by the 1930s.^[16] However, World War II disrupted dissemination: Tarski emigrated to the United States in 1939, eventually establishing a influential logic program at the University of California, Berkeley, while many school members perished or scattered, curtailing the tradition's continuity in Poland.^[16] Tarski's referential semantics, emphasizing denotation and satisfaction, echoed Frege's pioneering work on sense and reference as a direct influence on his object-language analysis.^[17]

Core Elements of Tarski's Semantic Theory

The T-Schema and Material Adequacy

The T-schema, also known as Convention T, provides the foundational equivalence for Tarski's semantic conception of truth: for any sentence S in the object language, the name of that sentence (denoted as "S") is true if and only if S itself holds.^[18] This biconditional captures the intuitive idea that truth aligns directly with the content of the sentence, as exemplified by the instance: "'Snow is white' is true if and only if snow is white."^[19] Tarski formulated this schema to embody the classical correspondence theory of truth, where a sentence's truth corresponds to the state of affairs it describes, without relying on vague or undefinable notions.^[18] Central to Tarski's framework is the material adequacy condition, which stipulates that an adequate definition of truth for a given language must entail all instances of the T-schema as theorems derivable from the definition.^[18] This criterion serves as a test for whether the definition successfully captures the intended meaning of "truth" across the language's sentences, ensuring completeness in covering intuitive truth attributions.^[19] Tarski emphasized that material adequacy distinguishes his approach by grounding truth in precise semantic relations, rather than mere convention or redundancy, thereby providing a benchmark against which proposed definitions can be evaluated.^[18] Tarski's rationale for the T-schema and material adequacy was to achieve an intuitive yet non-circular account of truth that aligns with natural language usage, where assertions of truth intuitively mirror the asserted propositions.^[19] By requiring the schema's instances to follow from the definition, Tarski ensured correspondence to reality without invoking truth in the explanation itself, thus avoiding the pitfalls of earlier definitional attempts that led to paradoxes or vagueness.^[18] This condition tests the definition against ordinary intuitions, such as accepting that simple declarative sentences are true precisely when their described situations obtain.^[19] For atomic sentences, which predicate properties or relations of specific objects, the T-schema applies straightforwardly through reference and denotation; for instance, "'The cat is on the mat' is true if and only if the cat is on the mat," where truth depends on the actual positions of the referenced entities.^[19] However, extending adequacy to quantified sentences presents challenges, as their truth cannot be reduced solely to object references but requires a notion of satisfaction by sequences of objects to handle variables and generality, ensuring all T-instances remain derivable.^[19] The object-language and metalanguage distinction enables this schema's application without circularity, by allowing the metalanguage to name and analyze sentences from the object language.^[18]

Recursive Definition via Satisfaction

In Tarski's semantic theory, the concept of truth for sentences in a formal language is defined indirectly through the more general notion of satisfaction, which applies to open formulas (sentential functions) with free variables. Satisfaction is a relation between such an open formula φ(x₁, ..., xₙ) and a sequence of objects s = ⟨s₁, s₂, ..., sₙ, ...⟩, where s satisfies φ if assigning the objects s₁ to x₁, s₂ to x₂, and so on, makes φ true in the structure being considered.^[20] This approach allows for a recursive construction that builds up the satisfaction relation step by step, mirroring the syntactic structure of formulas.^[20] The recursive definition of satisfaction proceeds by specifying base cases for atomic formulas and inductive clauses for compound ones formed by logical connectives and quantifiers. For an atomic formula, such as a predicate application R(t₁, ..., tₖ) where the tᵢ are terms (e.g., variables or constants), a sequence s satisfies it if the objects assigned by s to the free variables in the terms stand in the relation R in the model; for instance, if φ is R(x, y) with no other free variables, then s satisfies φ precisely when the pair (s(x), s(y)) belongs to the extension of R.^[20] For negation, s satisfies ¬φ if and only if s does not satisfy φ.^[20] For conjunction, s satisfies φ ∧ ψ if and only if s satisfies φ and s satisfies ψ.^[20] For universal quantification, s satisfies ∀x φ(x) if and only if, for every object o in the domain, the sequence s' obtained from s by setting s'(x) = o (and agreeing with s elsewhere) satisfies φ(x).^[20] Similar clauses apply to other connectives like disjunction and implication, derived from these primitives, and to existential quantification via negation and universal.^[20] From this satisfaction relation, truth for closed sentences—those with no free variables—is defined straightforwardly: a sentence T is true in the structure if and only if every infinite sequence s satisfies T (or equivalently, the empty sequence, since the truth value is independent of the assignments).^[20] This yields a complete truth predicate True(⌜T⌝) equivalent to ∀s (s satisfies T), where ⌜T⌝ denotes the name of T in the metalanguage.^[20] As a concrete example in first-order logic with equality and a binary predicate R, consider the closed sentence T: ∀x ∃y R(x, y). Then T is true if and only if every sequence s satisfies T, which holds if for every s and every object o, the modified sequence s' (with s'(x) = o) satisfies ∃y R(x, y)—that is, there exists some object p such that s'' (with s''(y) = p) satisfies R(x, y), meaning (o, p) ∈ R.^[20] For an atomic base case like the open formula R(x₁, x₂), s satisfies it if (s₁, s₂) ∈ R.^[20] This recursive process ultimately implements the T-schema by ensuring that True(⌜S⌝) ↔ S for every sentence S in the object language.^[20]

Object-Language and Metalanguage Distinction

In Alfred Tarski's semantic theory of truth, a fundamental distinction is made between the object-language and the metalanguage to enable a rigorous definition of truth while avoiding paradoxes arising from self-reference. The object-language is the formal system for which the notion of truth is being defined, such as the language of first-order arithmetic or predicate logic, where sentences express facts about the domain being modeled.^[21] The metalanguage, in contrast, is a more expressive framework that incorporates the object-language as a subsystem and includes additional resources, such as quotation marks for naming expressions of the object-language and a truth predicate to evaluate them.^[18] This separation ensures that statements about truth are formulated outside the language they describe, maintaining clarity and preventing circularity.^[22] Tarski's approach constructs an infinite hierarchy of languages to sustain this distinction across levels of analysis. In this hierarchy, the truth predicate for a language at level n (the object-language L_n) is defined within a metalanguage at level n+1 (L_{n+1}), which extends L_n with the necessary semantic apparatus, including the satisfaction relation used recursively to build the truth definition.^[21] Consequently, no single language can serve as both object-language and metalanguage for itself, as this would require a universal truth predicate capable of self-application, which Tarski deemed impossible without leading to inconsistencies.^[18] This hierarchical structure allows truth to be defined adequately for each level but precludes a comprehensive truth theory within any one language.^[22] Central to this framework is Tarski's undefinability theorem, which formally establishes that no adequate definition of truth can exist within a sufficiently expressive language, such as one containing its own syntax and arithmetic capabilities.^[21] Specifically, if the object-language is semantically closed—meaning it can represent its own sentences and apply predicates to them—no formula in that language can satisfy the material adequacy condition for truth (the T-schema) for all its sentences without contradiction.^[18] Tarski proved this by showing that any purported truth predicate in such a language would yield derivable contradictions, akin to those in self-referential systems.^[22] A concrete example illustrates this distinction: consider the object-language of Peano arithmetic, which formalizes statements about natural numbers, such as $2 + 2 = 4.^[21] Its truth is defined in a set-theoretic metalanguage, such as Zermelo-Fraenkel set theory, which includes the arithmetic language, structural descriptions of its syntax (e.g., via Gödel numbering), and the satisfaction relation to determine truth relative to models.^[18] This setup ensures that the metalanguage can adequately capture the semantics of arithmetic without arithmetic itself defining its own truth, thereby upholding the hierarchy.^[22]

Extensions for Self-Reference and Paradoxes

The Liar Paradox and Its Challenges

The liar paradox arises from self-referential statements that lead to logical contradiction, most classically formulated as the sentence L: "This sentence is false." If L is assumed to be true, then it must be false as it asserts its own falsity; conversely, if L is false, then it must be true since its assertion fails. This oscillation prevents any consistent assignment of a truth value to L.^[20] Historical variants of the paradox trace back to ancient Greece, with one early form attributed to the Cretan philosopher Epimenides, who reportedly claimed, "All Cretans are liars," implying that his own statement, as uttered by a Cretan, is both true and false.^[23] In medieval philosophy, the paradox was extensively analyzed as part of the literature on insolubilia. John Buridan, in his Sophismata, further developed medieval responses, examining how such self-referential claims disrupt standard notions of signification and truth in natural language.^[24] The paradox poses severe challenges to semantic theories of truth, particularly those relying on the T-schema, which states that a sentence is true if and only if what it says is the case. Self-referential sentences like L violate this schema because no truth value can satisfy it without contradiction, revealing the inadequacy of applying correspondence-based definitions uniformly to all sentences in a language.^[20] This exposes fundamental limits in semantic theories when extended to natural language, where self-reference is unavoidable, undermining the idea that truth can be defined holistically without restrictions.^[25] Tarski diagnosed the liar paradox as a "semantic antinomy" stemming from three key assumptions in informal semantics: the presence of a total truth predicate applicable to all sentences, the ability to form names of sentences within the same language, and the universal applicability of the T-schema.^[20] He argued that these antinomies emerge in natural or insufficiently formalized languages due to inadequate separation of levels, and formal languages circumvent the issue by excluding self-reference altogether.^[18] The implications of the liar paradox necessitate restricting semantic definitions of truth to non-self-referential contexts, ensuring that truth predicates apply only to sentences in a lower-level object language evaluated from a higher-level metalanguage. This hierarchical approach, while resolving the paradox in formal systems, highlights the tension between rigorous semantics and the expressive power of everyday language.^[20]

Kripke's Fixed-Point Approach

In 1975, Saul Kripke proposed a model-theoretic approach to defining truth that extends Tarski's semantics by allowing a single truth predicate within the object language itself, while addressing self-referential paradoxes through partial interpretations and fixed points.^[26] This framework constructs truth assignments iteratively, starting from atomic facts and propagating truth values bottom-up, thereby permitting some self-referential sentences without leading to total inconsistency.^[26] Central to Kripke's theory is the concept of groundedness, where a sentence receives a definite truth value (true or false) only if it can be traced back through a finite chain of references to non-truth-involving atomic sentences; otherwise, it remains ungrounded and lacks a truth value.^[26] The fixed-point construction begins with an empty interpretation for the truth predicate, denoted as C_0, and proceeds through a transfinite hierarchy of stages: at each successor stage C_{\alpha+1}, the truth predicate is defined based on the satisfaction of sentences in C_\alpha; at limit ordinals, the interpretation is the union of prior stages.^[26] This monotonic process converges at a minimal fixed point, where the interpretation stabilizes, ensuring that earlier assignments are preserved.^[26] Kripke employs Kleene's strong three-valued logic, with values true, false, and undefined, to evaluate sentences during iteration; a sentence is true if all its atomic components necessitate truth, false if they necessitate falsity, and undefined otherwise.^[26] This approach handles paradoxes like the liar sentence ("This sentence is false") by leaving it undefined in the minimal fixed point, as its self-reference creates an ungrounded loop without a determinate value, preventing the semantic collapse that arises in fully bivalent systems.^[26] Similarly, a strengthened liar such as "This sentence is not true" remains undefined, illustrating how ungroundedness accommodates sentences that would otherwise oscillate or explode in value assignments.^[26] In contrast to sentences like "This sentence is true," which are ungrounded but non-paradoxical and may receive values in non-minimal fixed points depending on context, the liar exemplifies true paradox by resisting assignment across all fixed points.^[26] Unlike Tarski's strict hierarchical distinction between object and metalanguages, which requires infinitely many truth predicates to avoid self-reference, Kripke's method is non-hierarchical: it uses a single partial truth predicate applicable within the same language, with the "levels" of assignment emerging empirically from the structure of sentences rather than being predefined.^[26] This partiality means the truth predicate is not a total function, allowing gaps for ungrounded sentences while maintaining consistency for grounded ones, thus enabling a more unified and flexible semantics for natural languages.^[26]

Applications and Philosophical Implications

Influence on Model Theory and Formal Semantics

Tarski's semantic theory of truth, particularly through the satisfaction relation, established the core of model theory by defining a model as a structure—a domain paired with an interpretation of nonlogical symbols—in which a sentence or set of sentences holds true under the satisfaction conditions.^[27] This approach shifted the study of logical systems from purely syntactic concerns to semantic interpretations, enabling the analysis of theories via their models.^[27] The satisfaction relation, recursively defined for atomic formulas and extended to complex ones (e.g., a universal quantifier \forall x \phi is satisfied if \phi holds for all elements in the domain), underpins the identification of valid structures and has been foundational for subsequent developments in mathematical logic.^[22] This framework proved essential for completeness theorems in first-order logic, such as Leon Henkin's 1949 proof, which shows that every consistent set of sentences has a model, thereby equating semantic entailment with syntactic provability.^[28] Tarski's semantics also yielded a precise definition of logical consequence: a sentence \phi is a logical consequence of a set \Gamma (denoted \Gamma \models \phi) if every model satisfying \Gamma also satisfies \phi, replacing earlier syntactic notions with a model-theoretic criterion that preserves truth across all possible interpretations.^[29] Furthermore, Tarski's 1936 undefinability theorem asserts that truth for an arithmetic language cannot be defined within that language itself, a result that parallels and strengthens Gödel's incompleteness theorems by demonstrating the non-definability of truth in sufficiently expressive formal systems like Peano arithmetic.^[22] Post-Tarski advancements in model theory were propelled by figures like Abraham Robinson, who in the 1950s developed model completeness and applied ultraproducts to non-standard analysis, extending Tarski's methods to infinitesimal structures in analysis.^[30] Michael Morley further advanced the field in 1965 with his categoricity theorem, proving that a countable theory categorical in one uncountable cardinality is categorical in all, introducing tools like Morley rank to classify stable theories.^[31] Tarski's influence extended to infinitary logics, where, collaborating with Dana Scott in 1958, he introduced languages with infinitely long expressions, enabling model-theoretic studies of weak compactness and measurable cardinals in set theory.^[32] In computational contexts, Tarski's satisfaction-based semantics informs automated theorem proving, notably through his 1951 decision procedure for real closed fields via quantifier elimination, which reduces first-order formulas to decidable quantifier-free forms and has been implemented in tools like cylindrical algebraic decomposition for verifying geometric theorems.^[33] Kripke's fixed-point extension of Tarski's theory, addressing self-reference, has shaped denotational semantics in programming languages by modeling recursive definitions as minimal fixed points in domain-theoretic structures, allowing rigorous treatment of self-referential computations akin to grounded truth assignments.^[34]

Debates in Philosophy of Language and Truth

One prominent extension of Tarski's semantic framework into natural language semantics is Donald Davidson's program, which posits that a Tarskian-style theory of truth can serve as the basis for interpreting the meanings of sentences in ordinary languages. In his seminal 1967 essay, Davidson argued that the meaning of a sentence is given by its truth conditions, such that a theory specifying when sentences are true under various interpretations provides a full account of semantic content. This approach treats truth theories as interpretive tools, enabling the radical interpretation of speakers' beliefs and utterances by assuming that understanding involves grasping truth conditions. A key critique of Tarski's theory from a deflationist perspective comes from Hartry Field, who in 1972 contended that the semantic definition reduces to a disquotational schema without providing a substantive account of truth's nature or metaphysical grounding. Field argued that Tarski's construction merely reformulates equivalence between sentences and their truth predicates, failing to explain truth in terms of correspondence to reality or other robust properties, and thus rendering it inadequate for physicalist or realist ambitions.^[35] Field further challenged the theory's material adequacy for natural languages, particularly those with vagueness, where bivalent truth assignments lead to counterintuitive results in borderline cases.^[35] The semantic theory of truth relates to traditional accounts in varied ways: it is often viewed as a formalized version of the correspondence theory, where truth arises from satisfaction relations between sentences and models of the world, as explored by Herbert Keuth in his analysis of how Tarski's schema aligns with correspondence without invoking metaphysical facts.^[36] In contrast, it conflicts with coherence theories due to its commitment to bivalence and model-based satisfaction, which presuppose unique truth values independent of holistic consistency among beliefs.^[37] Pragmatist critiques, such as those from Richard Rorty, dismiss the semantic approach as overly formal and disconnected from practical inquiry, arguing that it prioritizes logical regimentation over the utility of truth in human discourse and action.^[38] Contemporary debates highlight pluralism about truth, as articulated by Michael P. Lynch in 2009, which posits that truth may manifest differently across domains, with Tarskian semantics suitable only for formal or scientific contexts where precise satisfaction conditions apply, but inadequate for moral or aesthetic domains requiring other norms like coherence or utility. Issues of vagueness and the sorites paradox further complicate semantic theories, where Kripkean fixed-point constructions introduce truth-value gaps to avoid overdetermination in borderline cases, allowing indeterminate sentences to lack truth values without violating adequacy conditions.^[39] This gap-theoretic extension addresses sorites chains by permitting gradual shifts without forcing binary assignments, though it raises questions about the universality of semantic truth.^[39] A specific ongoing debate concerns whether Tarski's theory captures the intuitive concept of truth or merely defines a technical predicate. John Etchemendy in 1988 critiqued it for conflating semantic satisfaction with pre-theoretic truth, arguing that model-theoretic interpretations fail to preserve logical consequence across varying structures, thus misrepresenting truth as relative to arbitrary models rather than worldly facts.^[2] This view has been refuted by defenders like Greg Ray, who in 1996 demonstrated that Tarski's framework adequately models intuitive consequence by focusing on invariance under reinterpretations, preserving the theory's philosophical import without conceptual confusion.^[40]

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[PDF] The recent history of model theory - UB
The history of Model Theory can be traced back to the work of Charles Sanders Peirce and Ernst Schröder, when semantics started playing a role in Logic.Missing: post- | Show results with:post-
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https://plato.stanford.edu/entries/logic-infinitary/
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Infinitary Logic - Stanford Encyclopedia of Philosophy
Jan 23, 2000 · Tarski (eds.), Amsterdam: North-Holland, 407–412. Keisler, H. J., 1974, Model Theory for Infinitary Logic, Amsterdam: North-Holland. Keisler ...Definition and Basic Properties... · Incompleteness of Infinite...
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[PDF] TARSKI'S INFLUENCE ON COMPUTER SCIENCE The ... - arXiv
Sep 27, 2006 · Here surveyed is Tarski's work on the decision procedure for algebra and geometry, the method of elimination of quantifiers, the semantics of ...<|separator|>
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SENSE AND DENOTATION AS ALGORITHM AND VALUE
The denotational semantics of LPCR are Kripke's grounded semantics, by ... We will discuss briefly alternative fixed-point semantics in the next section.<|separator|>
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[PDF] Tarski's Theory of Truth
"What Tarski did was to define the term 'true', using in his definitions only terms that are clearly acceptable. In particular, he did not employ any undefined.
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Tarski's Definition of Truth and the Correspondence Theory
Apr 1, 2022 · Tarski's Definition of Truth and the Correspondence Theory. Published online by Cambridge University Press: 01 April 2022. Herbert Keuth. Show ...
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Theories of Truth - A Companion to the Philosophy of Language
Feb 18, 2017 · There are often said to be five main 'theories of truth': correspondence, coherence, pragmatic, redundancy, and semantic theories.
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Richard Rorty's Platonists, Positivists, and Pragmatists
The essays in this book are attempts to draw consequences from a pragmatist theory about truth. This theory says that truth is not the sort of thing one should ...
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[PDF] Field Semantic Paradoxes Vagueness - NYU Arts & Science
Mar 30, 2003 · So one consequence of the first problem for the Kripke theory is that it does not yield the full naive theory of truth. The other problem for ...<|control11|><|separator|>
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Tarski on Logical Consequence - Project Euclid
My arguments provide a refutation of some interpreters of Tarski, and notably John Etchemendy, who have claimed that his definition does not satisfy those ...Missing: critique | Show results with:critique