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Models and Logical Consequence

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Abstract

This paper deals with the adequacy of the model-theoretic definition of logical consequence. Logical consequence is commonly described as a necessary relation that can be determined by the form of the sentences involved. In this paper, necessity is assumed to be a metaphysical notion, and formality is viewed as a means to avoid dealing with complex metaphysical questions in logical investigations. Logical terms are an essential part of the form of sentences and thus have a crucial role in determining logical consequence. Gila Sher and Stewart Shapiro each propose a formal criterion for logical terms within a model-theoretic framework, based on the idea of invariance under isomorphism. The two criteria are formally equivalent, and thus we have a common ground for evaluating and comparing Sher and Shapiro philosophical justification of their criteria. It is argued that Shapiro's blended approach, by which models represent possible worlds under interpretations of the language, is preferable to Sher’s formal-structural view, according to which models represent formal structures. The advantages and disadvantages of both views’ reliance on isomorphism are discussed.

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Notes

  1. For the purpose of this paper I take the relata of logical consequence to be sentences. Other accounts are not excluded, as long as they involve sentences (e.g. sentence-context of utterance pairs).

  2. Presupposing that sentences have unique forms might be contested as well, but we will do so nonetheless to keep things simple.

  3. Sher is probably a good example. See Section 4.3 for Sher’s view of formality.

  4. I am employing here “model” in the contemporary usage, not the original Tarskian one, as my concern is the philosophical underpinnings of the model theory we currently use. The differences will not concern us.

  5. Tarski only points out that the desirable features of consequence are outcomes of his definition. “In particular,” he writes, “it can be proved, on the basis of this definition, that every consequence of true sentences must be true, and also that the consequence relation which holds between given sentences is completely independent of the sense of the extra-logical constants which occur in these sentences” (ibid). It should be noted that it is not all that clear that Tarski adheres to Necessity as we formulated it, see [14, pp. 25-29]. Indeed, had Tarski provided a proof of the adequacy of his definition, it might have been clearer what he meant by the word “must”.

  6. [12, p. 418].

  7. To be precise, Etchemendy thinks that the conceptual adequacy of model theory can be salvaged, but as he stresses, it would be in a way very foreign to Tarski’s so called reductive analysis. In fact, Etchemendy’s approach to model theory is quite close to that of Shapiro, but he fiercely criticizes the attribution of such an approach to Tarski, see [5].

  8. Obviously, there is a connection between the two uses of “model”. But when referring to the models of model theory we use “model” as a technical, mathematical, notion, where the aspect of models of model theory modeling something will be attributed to them only in virtue of being part of a bigger model, which consists of the whole formal system.

  9. We assume here, together with Sher, Shapiro and Etchemendy that there is a natural. straightforward way of evaluating sentences in possible worlds or configurations of the world. For a critical discussion of this assumption see [1].

  10. The idea of linguistic semantics is inspired by Etchemendy’s “interpretational semantics”. But by contrast, in interpretational semantics models do not represent anything, they are interpretations. Etchemendy attributes interpretational semantics to Tarski. The difference between linguistic and interpretational semantics is not crucial for our purposes and specifically, we are not concerned with Tarski exegesis.

  11. See [10, p. 666] and [7, pp. 143, 149].

  12. To be precise, what determines the form of a sentence is not only logical terms and their arrangement in the sentence, but also the grammatical categories of nonlogical terms and their iterations in the sentence.

  13. Etchemendy proposes a modification that compensates for the fixed domain. The quantifiers are analyzed as having two components, so that, e.g., ∃ is understood as some-thing, where some is fixed and thing varies over subsets of the domain. Note that as subsets of the domain never have cardinality greater than that of the domain, even with this modification the logical truth of ¬ φ depends on finitude of the world, see [4, pp. 112–120].

  14. Indeed, metaphysical investigations are a way to learn things about the actual world, sometimes more feasible than empirical methods.

  15. This obvious solution is absent from Etchemendy’s presentation of the two approaches to semantics in [4]. His own approach to semantics, which he describes in [5] as a version of representational semantics, is, however, very similar to Shapiro’s.

  16. Sher implies that a semantic approach which takes logical consequence as a subset of necessary consequence has two options: either it shares the disadvantages of metaphysical semantics [10, p. 659], or it is simply useless, “tantamount to giving an account of the distinctive nature of logical semantics” [10, p. 661].

  17. Truth functional connectives are invariant under isomorphic propositional structures, and can fit the schema of Sher’s definition of logicality. Alternatively, the connectives can be viewed as generalized quantifiers (see [11]).

  18. The difference between possible worlds and states of affairs (the former committing to maximality not assumed by the latter) should not concern us here; most of the metaphysical questions alluded to Section 4.1 with respect to possible worlds will re-arise when using possible states of affairs.

  19. In his [7], Shapiro does not mention assignments, but it is natural to add them in, since a formula is evaluated by a model only under an assignment. Alternatively, we may restrict formulas to sentences, as Shapiro does in [8]. This difference doesn’t have significant implications for our purposes.

  20. If we further require countable compactness, the resultant logic will not be stronger than first order logic by Lindström’s theorem, and the isomorphism property will be almost devoid of content, as will Sher’s criterion.

  21. Note that our use of the term logical term is neutral and does not presuppose any criterion for admissibility.

  22. See the Appendix for an outline of the proof, which appears in full in [6].

  23. More precisely: the nonlogical terms in φ include at most variables. Variables can be considered as either nonlogical terms, or as neither logical nor nonlogical - which is how Sher treats them, see [9, p. 84]. That decision does not affect our proof.

  24. For more details of the proof of the equivalence result, see [6].

References

  1. Blanchette, P.A. (2000). Models and modality. Synthese, 124, 45–72.

    Article  Google Scholar 

  2. Cook, R. (2002). Vagueness and mathematical precision. Mind, 111, 225–247.

    Article  Google Scholar 

  3. Etchemendy, J. (1983). The doctrine of logic as form. Linguistics and Philosophy, 6, 319–334.

    Article  Google Scholar 

  4. Etchemendy, J. (1990). The concept of logical consequence. Cambridge: Harvard University Press.

    Google Scholar 

  5. Etchemendy, J. (2008). Reflections on consequence. In D. Patterson (Ed.), New essays on Tarski and philosophy (pp. 263–299). Oxford: Oxford University Press.

    Chapter  Google Scholar 

  6. Sagi, G. (2011). Sher and Shapiro on logical terms. In M. Peliš & V. Punčochář (Eds.), The Logica yearbook 2010 (pp. 199–210) London: College Publications.

    Google Scholar 

  7. Shapiro, S. (1998). Logical consequence: Models and modality. In M. Schirn (Ed.), The philosophy of mathematics today (pp. 131–156). Oxford: Oxford Univerity Press.

    Google Scholar 

  8. Shapiro, S. (2005). Logical consequence, proof theory, and model theory. In S. Shapiro (Ed.), The Oxford handbook of philosophy of mathematics and logic (pp. 651–670). Oxford: Oxford Univerity Press.

    Chapter  Google Scholar 

  9. Sher, G. (1991). The bounds of logic: a generalized viewpoint. Cambridge: MIT Press.

    Google Scholar 

  10. Sher, G. (1996). Did Tarski commit Tarski’s fallacy? The Journal of Symbolic Logic, 61(2), 653–686.

    Article  Google Scholar 

  11. Sher, G. (2008). Tarski’s thesis. In D. Patterson (Ed.), New essays on Tarski and philosophy (pp. 300–339). Oxford: Oxford University Press.

  12. Tarski, A. (1983). On the concept of logical consequence. In J. Corcoran (Ed.), Logic, semantics, metamathematics (pp. 409–420). Indianapolis: Hackett.

    Google Scholar 

  13. Tarski, A. (1986). What are logical notions? History and Philosophy of Logic, 7, 143–154.

    Article  Google Scholar 

  14. Tarski, A. (2002). On the concept of following logically. History and Philosophy of Logic, 23, 155–196.

    Article  Google Scholar 

Download references

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Correspondence to Gil Sagi.

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Versions of this paper were presented in 2010 at the Logica conference in Hejnice and at the Foundations of Logical Consequence conference in St Andrews. I am grateful to the participants of those conferences for helpful discussions. I would also like to thank Ole Hjortland, Hannes Leitgeb, Oron Shagrir, Stewart Shapiro and an anonymous referee for this journal for comments on this paper.

Appendix

Appendix

1.1 A.1 Equivalence Result

Let L be a first order language with logical terms of level 1 or 2 (truth-functional connectives, predicates and functional expressions), and countably many nonlogical predicates from each arity. We assume also that the model theory is a standard classical one. Then the isomorphism property holds for L, with the class of models for L, if and only if the predicates and functional expressions which are logical terms in L are invariant under isomorphisms.

Proof Outline

The left to right direction (from the isomorphism property to Sher’s criterion) is proved by constructing, for each logical term C, a formula φ where C is the only logical term, and then using the isomorphism property on φ. We show this only for the simple case of first-level predicates.

Let C be an n-place first-level predicate for some n ≥ 1, and assume that C is a logical term in L. We need to show that it satisfies Sher’s criterion, i.e. that it is invariant under isomorphic structures. Sher assigns to each logical term C a function f C such that for each model M, f C (M) is C’s extension in M. Let M and M′ be models with domains A and A′, and 〈b 1, … , b n 〉 ∈ A n, 〈b1, … , b n 〉 ∈ An such that the structures 〈A, 〈b 1, … , b n 〉〉 and 〈A′, 〈b1, … , b n 〉〉 are isomorphic. We need to show that 〈b 1, … , b n 〉 ∈ f C (M) iff 〈b1, … , b n 〉 ∈ f C (M′). We now define assignments s and s′ for M and M′ respectively, thus:

$$s(x_i) = \left\{\begin{array}{l} b_{i}\quad \text{if}\; 1\leq i\leq n\\ b_{n}\quad \text{if}\; i>n \end{array}\right\} \qquad s^{\prime}(x_i) = \left\{\begin{array}{l} b^{\prime}_{i}\quad\text{if}\;1\leq i\leq n\\ b^{\prime}_{n}\quad\text{if}\; i>n \end{array}\right\} $$

Note that the structures 〈A, 〈b 1, … , b n 〉, s〉 and 〈A′, 〈b1, … , b n 〉, s′〉 are isomorphic.

Now consider the formula φ = C(x 1, … , x n ). From the previous claim we get that 〈M, s〉 and 〈M′, s′〉 are isomorphic with respect to the nonlogical terms in φ (the nonlogical terms in φ include only variablesFootnote 23). So by the assumption that the isomorphism property holds, 〈M, s〉 ⊧ φ iff 〈M′, s′〉 ⊧ φ. Therefore, by the definitions of s and s′, MC[b 1, … , b n ] iff M′ ⊧ C[b1, … , b n ], thus 〈b 1, … , b n 〉 ∈ f C (M) iff 〈b1, … , b n 〉 ∈ f C (M′), as required.

The right to left direction is proved by induction, the details of which we leave to the reader.Footnote 24

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Sagi, G. Models and Logical Consequence. J Philos Logic 43, 943–964 (2014). https://doi.org/10.1007/s10992-013-9303-5

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