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Part of the book series: Logic, Argumentation & Reasoning ((LARI,volume 8))

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Abstract

We propose a dynamic-epistemic analysis of the different epistemic operations constitutive of the process of interrogative inquiry, as described by Hintikka’s Interrogative Model of Inquiry (IMI). We develop a dynamic logic of questions for representing interrogative steps, based on Hintikka’s treatment of questions in the IMI, along with a dynamic logic of inferences for representing deductive steps, based on the tableau method. We then merge these two systems into a dynamic logic of interrogative inquiry which articulates a joint treatment of questions and inferences, providing thereby a unified framework representing the informational dynamics of interrogative inquiry. We provide sound and complete axiomatic systems for the three dynamic logics that we introduce, we compare our framework with existing approaches, and we finally propose several directions for further work.

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Notes

  1. 1.

    ‘Interrogative Logic’ refers to the logical system developed by Hintikka et al. (1999) which provides a logical theory of interrogative reasoning as an extension of first-order logic with a rule for questioning.

  2. 2.

    Hintikka’s theory of questions involves an additional important notion: the desideratum of a question which specifies “the epistemic state that the questioner wants to be brought about (in the normal use of questions)” (Hintikka 2007, p. 25). This notion plays a limited role in the propositional case since, as soon as the oracle picks an answer among the set of possible answers of a propositional question and delivers it to the inquiring agent, the agent is automatically brought in an epistemic state that satisfies the desideratum of the propositional question. For this reason, we do not consider the notion of desideratum in this paper.

  3. 3.

    Notice that the notion of presupposition plays a crucial role in the limitations of the inquiry process: “[T]he limits of inquiry are obviously determined to a large extent by the available presuppositions of questions and answers. […] It follows that all doctrines concerning the limitations of scientific or other kinds of knowledge-seeking will have to be discussed by reference to the presuppositions of questions and questioning”. (Hintikka 2007, p. 84).

  4. 4.

    See Appendix A for a brief presentation of epistemic logic.

  5. 5.

    We provide here a general definition for epistemic inquiry models. We will then restrict it with additional requirements when we will define our intended class of models.

  6. 6.

    As defined in Appendix A. In all this paper, we make the common assumption that the indistinguishability relation \(\sim \) is an equivalence relation.

  7. 7.

    The semantics for the epistemic language \(\mathcal{E}\) is defined in Appendix A.

  8. 8.

    In the following, by ‘epistemic inquiry models’ we will mean models of this class.

  9. 9.

    For a presentation of the notion of hard information update, along with a general presentation of Dynamic Epistemic Logic (DEL) and Public Announcement Logic (PAL), we refer the reader to the textbook (van Ditmarsch et al. 2007) and the monograph (van Benthem 2011). PAL has been developed by Plaza (1989) and independently by Gerbrandy and Groeneveld (1997). A more general approach is the one of Baltag et al. (1998) which provides a general account of multi-agent updates through epistemic events.

  10. 10.

    This presupposes that there is at most a unique answer to a given question. This assumption will be introduced shortly, when we will model the precondition for the agent to be able to address a question to the oracle.

  11. 11.

    This is arguably a strong idealization of the questioning process since it limits substantially the questions that the agent can address to the oracle. The interest of the idealization is to simplify the dynamics of questioning insofar as there is only one choice available to the oracle when it comes to answer a given question. However, the idealization can be withdrawn by introducing in the framework an explicit representation of the way the oracle chooses its answer to a question when several alternative answers are available. We leave aside such refinements of the questioning process, as this would make heavier the formal presentation of our dynamic logic of questions. We choose to focus instead in this paper on the interaction between the informational dynamics of questions and inferences.

  12. 12.

    The axioms for EL are provided in Appendix A.

  13. 13.

    Of course, it might also be possible, in this second case, that the agent knew \(\varphi\) before asking the question Q.

  14. 14.

    Since we have by hypothesis \(M,w\models \mathsf{pre}(\gamma _{1},\ldots,\gamma _{k})\), we know that if there exists \(i \in [\![1,k]\!]\) such that \(\gamma _{i} \in \Phi (w)\), this γ i is unique, i.e., there is no \(j \in [\![1,k]\!]\) with ji such that \(\gamma _{j} \in \Phi (w)\). This is the reason why we can write in this case that \(M_{(\gamma _{1},\ldots,\gamma _{k})?}(w):= M\vert \gamma _{i}\).

  15. 15.

    The proof of the soundness of the fifth axiom appeals to the coherence property for the oracle.

  16. 16.

    Since we are working in the propositional case, the tableau method constitutes here a decision procedure for checking that a formula γ is logically entailed by a finite set of premises Γ (D’Agostino 1999).

  17. 17.

    The hypotheses that we will adopt in this section will turn out to make the notions of local and global explicit knowledge collapse into one unique notion of explicit knowledge, which will be the counterpart of the notion of implicit knowledge. It will also have for effect to make collapse the notions of local and global inferential processes into one unique notion of inferential process.

  18. 18.

    Here again, we assume that the indistinguishability relation is an equivalence relation.

  19. 19.

    In the following, by ‘tableau epistemic models’ we will mean models of this class.

  20. 20.

    Here n + 1 is the index of the first empty branch of \(\mathsf{T}(u) =\{ \mathcal{B}_{0}(u),\ldots,\mathcal{B}_{n}(u)\}\).

  21. 21.

    For readability reasons, the subscripts (Γ, γ) have been omitted in the dynamic operators and in the preconditions of the formulas present in Table 2.

  22. 22.

    In our framework, the precondition for asking a question is to have (explicit) knowledge of its presupposition. Thus, the operation of “paving the way for new questions by establishing their presuppositions” is here represented by the acquisition of explicit knowledge of the presuppositions of questions.

  23. 23.

    In the following, by ‘interrogative inquiry models’ we will mean models of the class TE I.

  24. 24.

    One can easily check that the question operation preserves the class of models TE I.

  25. 25.

    We refer the reader to Fagin et al. (1995), Blackburn et al. (2002), van Ditmarsch et al. (2007) and van Benthem (2011) for general presentations and overviews of epistemic logic.

  26. 26.

    In all this paper, we make the common assumption that the indistinguishability relation is an equivalence relation.

References

  • Ågotnes, T., van Benthem, J., van Ditmarsch, H., & Minica, S. (2011). Question–answer games. Journal of Applied Non-Classical Logics, 21(3–4), 265–288.

    Article  Google Scholar 

  • Aliseda, A. (2006). Abductive reasoning: Logical investigations into discovery and explanation (Synthese library, Vol. 330). Dordrecht: Springer.

    Google Scholar 

  • Baltag, A., Moss, L., & Solecki, S. (1998). The logic of public announcements, common knowledge, and private suspicions. In I. Gilboa (Ed.), Proceedings of the 7th conference on theoretical aspects of rationality and knowledge (TARK 98) (pp. 43–56).

    Google Scholar 

  • van Benthem, J. (2008). Tell it like it is: Information flow in logic. Journal of Peking University (Humanities and Social Science Edition), 1, 80–90.

    Google Scholar 

  • van Benthem, J. (2011). Logical dynamics of information and interaction. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • van Benthem, J., & Minică, Ş. (2012). Toward a dynamic logic of questions. Journal of Philosophical Logic, 41(4), 633–669.

    Article  Google Scholar 

  • van Benthem, J., & Velázquez-Quesada, F. (2010). The dynamics of awareness. Synthese, 177, 5–27.

    Article  Google Scholar 

  • van Benthem, J., Gerbrandy, J., Hoshi, T., & Pacuit, E. (2009). Merging frameworks for interaction. Journal of Philosophical Logic, 38(5), 491–526.

    Article  Google Scholar 

  • Blackburn, P., De Rijke, M., & Venema, Y. (2002). Modal logic. Cambridge: Cambridge University Press.

    Google Scholar 

  • Ciardelli, I., & Roelofsen, F. (2015). Inquisitive dynamic epistemic logic. Synthese, 192(6), 1643–1687.

    Article  Google Scholar 

  • Collingwood, R. (1940). An essay on metaphysics. Oxford: Clarendon Press.

    Google Scholar 

  • D’Agostino, M. (1999). Tableau methods for classical propositional logic. In M. D’Agostino, D. Gabbay, R. Haehnle, & J. Posegga (Eds.), Handbook of tableau methods (pp. 45–123). Dordrecht: Kluwer Academic Publishers.

    Chapter  Google Scholar 

  • van Ditmarsch, H., van der Hoek, W., & Kooi, B. (2007). Dynamic epistemic logic (Synthese library, Vol. 337). Berlin/Heidelberg: Springer.

    Book  Google Scholar 

  • Fagin, R., Halpern, J., Moses, Y., & Vardi, M. (1995). Reasoning about Knowledge. Cambridge: MIT Press.

    Google Scholar 

  • Genot, E. (2009). The game of inquiry: The interrogative approach to inquiry and belief revision theory. Synthese, 171(2), 271–289.

    Article  Google Scholar 

  • Gerbrandy, J., & Groeneveld, W. (1997). Reasoning about information change. Journal of Logic, Language and Information, 6(2), 147–169.

    Article  Google Scholar 

  • Groenendijk, J., & Stokhof, M. (1997). Questions. In J. van Benthem & A. ter Meulen (Eds.), Handbook of logic and language (pp. 1055–1124). Amsterdam: Elsevier.

    Chapter  Google Scholar 

  • Harrah, D. (1984). The logic of questions. In: D. Gabbay & F. Guenthner (Eds.), Handbook of philosophical logic (Vol. 2, pp. 715–764). Dordrecht: Reidel.

    Chapter  Google Scholar 

  • Hintikka, J. (1976). The semantics of questions and the questions of semantics: Case studies in the interrelations of logic, semantics, and syntax. Acta Philosophica Fennica, 28(4).

    Google Scholar 

  • Hintikka, J. (1988). What is the logic of experimental inquiry? Synthese, 74(2), 173–190.

    Article  Google Scholar 

  • Hintikka, J. (1999). Inquiry as inquiry: A logic of scientific discovery (Jaakko Hintikka selected papers, Vol. 5). Dordrecht: Kluwer Academic Publishers.

    Book  Google Scholar 

  • Hintikka, J. (2007). Socratic epistemology: Explorations of knowledge-seeking by questioning. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Hintikka, J., Halonen, I., & Mutanen, A. (1999). Interrogative logic as a general theory of reasoning. In Inquiry as inquiry: A logic of scientific discovery (pp. 47–90). Dordrecht: Kluwer Academic Publishers.

    Chapter  Google Scholar 

  • Kelly, K. (1996). The logic of reliable inquiry. Oxford: Oxford University Press

    Google Scholar 

  • Peliš, M., & Majer, O. (2011). Logic of questions and public announcements. In N. Bezhanishvili, S. Löbner, K. Schwabe, & L. Spada (Eds.), Eighth international Tbilisi symposium on logic, language and computation (2009) (Lecture notes in computer science, pp. 145–157).

    Google Scholar 

  • Plaza, J. (1989). Logics of public communications. In M. Emrich, M. Pfeifer, M. Hadzikadic, & Z. Ras (Eds.), Proceedings of the 4th international symposium on methodologies for intelligent systems (pp. 201–216).

    Google Scholar 

  • Smullyan, R. (1968). First-order logic. Berlin: Springer.

    Book  Google Scholar 

  • Velázquez-Quesada, F. (2009). Inference and update. Synthese (Knowledge, Rationality and Action), 169(2), 283–300.

    Google Scholar 

  • Wiśniewski, A. (1995). The posing of questions: Logical foundations of erotetic inferences. Dordrecht: Kluwer Academic Publishers.

    Book  Google Scholar 

Download references

Acknowledgements

This paper has been presented at the Interrogative Model of Inquiry Seminar in Paris (France, September 2011), the Questions, Games, Logic Workshop in Amsterdam (the Netherlands, December 2011) and the Trends in Logic XI Conference in Bochum (Germany, June 2012). I would like to thank the audiences of these events for helpful feedback and comments. I have benefited from discussions of this work with Johan van Benthem, Can Başkent, Emmanuel Genot, Eric Pacuit, Ştefan Minică, Gabriel Sandu, and Fernando Velázquez-Quesada. I am particularly grateful to Fernando Velázquez-Quesada for suggesting many substantial improvements on an earlier version of this paper. Finally, I am thankful to two anonymous reviewers for their comments and suggestions. The author of this paper acknowledges support from a doctoral fellowship of the Research Foundation Flanders (FWO).

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Technical Appendix

Technical Appendix

1.1 A Epistemic Logic

We provide here the formal bases of epistemic logic.Footnote 25 We first define the language of epistemic logic \(\mathcal{E}\) as follows:

Definition 31 (Epistemic language \(\mathcal{E}\)).

Let P be a countable set of atomic propositions. The epistemic language \(\mathcal{E}\) is given by

$$\displaystyle{\varphi::= p\ \vert \ \neg \varphi \ \vert \ \varphi \wedge \varphi \ \vert \ K\varphi \quad \mbox{ where }p \in \mathsf{P}.}$$

In this language, formulas of the form \(K\varphi\) are read as “the agent knows that \(\varphi\)”. We will write \(\perp \) for \(p \wedge \neg p\) and \(\top \) for \(\neg \perp \). We now define the notion of epistemic model:

Definition 32 (Epistemic model).

Let P be a countable set of atomic propositions. An epistemic model is a tuple \(M =\langle W,\sim,V \rangle\) where:

  • W is a non-empty set of worlds,

  • \(\sim \ \subseteq W \times W\) is a binary equivalence relation representing the epistemic indistinguishability relation of the agent,Footnote 26

  • \(V: W \rightarrow \mathcal{P}(\mathsf{P})\) is an atomic valuation function indicating the atomic propositions that are true at each world.

We refer to pairs (M, w), where M is an epistemic model and w is a world in M, as pointed epistemic models. The intuitive idea behind the use of the epistemic indistinguishability relation is the following: if w denotes the actual world and u is a world such that \(u \sim w\), then this means that, given all what the agent knows, she cannot tell between w and u which one is the actual world. Finally, the epistemic language \(\mathcal{E}\) is interpreted on epistemic models as follows:

Definition 33 (Semantics for \(\mathcal{E}\)).

Let \(M =\langle W,\sim,V \rangle\) be an epistemic model. The semantics for the epistemic language \(\mathcal{E}\) is given by

$$\displaystyle\begin{array}{rcl} M,w\models p& \mbox{ iff }& p \in V (w) {}\\ M,w\models \neg \varphi & \mbox{ iff }& \mbox{ not }M,w\models \varphi {}\\ M,w\models \varphi \wedge \psi & \mbox{ iff }& M,w\models \varphi \mbox{ and }M,w\models \psi {}\\ M,w\models K\varphi & \mbox{ iff }& \mbox{ for all }u\mbox{ such that }u \sim w\mbox{ we have }M,u\models \varphi. {}\\ \end{array}$$

The set of valid formulas of \(\mathcal{E}\) on the class of epistemic models can be axiomatized using the following axiomatic system EL:

Definition 34 (Logic EL).

The logic EL is given by the following axiomatic system:

  1. 1.

    all classical propositional tautologies

  2. 2.

    \(K(\varphi \rightarrow \psi ) \rightarrow (K\varphi \rightarrow K\psi )\)

  3. 3.

    \(K\varphi \rightarrow \varphi\)

  4. 4.

    \(K\varphi \rightarrow KK\varphi\)

  5. 5.

    \(\neg K\varphi \rightarrow K\neg K\varphi\)

  6. 6.

    from \(\varphi\) and \(\varphi \rightarrow \psi\), infer ψ

  7. 7.

    from \(\varphi\), infer \(K\varphi\)

Then, we have the following completeness result for EL with respect to the class of epistemic models:

Theorem 6 (Completeness for EL).

EL is strongly complete with respect to the class of epistemic models.

Proof.

See Blackburn et al. (2002). □ 

1.2 B Proofs of Propositions 1, 2 and Lemma 1

Proof (Proposition 1).

Assume that \(M,w\models R\left (\bigwedge \varGamma \wedge \neg \gamma \right ) \wedge \mathsf{closed}(\varGamma,\gamma )\). By the structural property for semantic trees, we directly have that \(\mathsf{T}(w) \in \mathsf{STrees(\mathcal{I})}_{\varGamma,\gamma }\). Since n Γ, γ + 1 is the maximal number of branches of a semantic tree in \(\mathsf{STrees(\mathcal{I})}_{\varGamma,\gamma }\), we have to show that for any \(i \in [\![0,n_{\varGamma,\gamma }]\!]\), \(\mathcal{B}_{i}(w)\) is either closed or empty. Let \(i \in [\![0,n_{\varGamma,\gamma }]\!]\). Since \(M,w\models \mathsf{closed}(\varGamma,\gamma )\), we have \(M,w\models \mathsf{closed}(\mathcal{B}_{i})_{\varGamma,\gamma } \vee \mathsf{empty}(\mathcal{B}_{i})_{\varGamma,\gamma }\). If \(M,w\models \mathsf{closed}(\mathcal{B}_{i})_{\varGamma,\gamma }\), this means that \(M,w\models Br_{i}\gamma ' \wedge Br_{i}\neg \gamma '\) for some γ′ ∈ T(Γ, γ), and we get that \(\mathcal{B}_{i}(w)\) is closed. If \(M,w\models \mathsf{empty}(\mathcal{B}_{i})_{\varGamma,\gamma }\), this means that no element of T(Γ, γ) is in \(\mathcal{B}_{i}(w)\), and we get that \(\mathcal{B}_{i}(w)\) is necessarily empty. We conclude that \(\mathsf{T}(w) \in \mathsf{STrees(\mathcal{I})}_{\varGamma,\gamma }\) and T(w) is closed. Now assume that \(\mathsf{T}(w) \in \mathsf{STrees(\mathcal{I})}_{\varGamma,\gamma }\) and T(w) is closed. We directly have that \(M,w\models R\left (\bigwedge \varGamma \wedge \neg \gamma \right )\). Then, since T(w) is closed, we have that for all \(i \in [\![0,n_{\varGamma,\gamma }]\!]\), \(\mathcal{B}_{i}(w)\) is either closed or empty, and thereby that \(M,w\models \mathsf{closed}(\varGamma,\gamma )\). □ 

Proof (Proposition 2).

Assume that \(M,w\models R\gamma\). Let χ ∈ ImpConf(γ). We want to show that \(M,w \nvDash \chi\). Assume towards a contradiction that \(M,w\models \chi\). Since \(M,w\models R\gamma\), we have by the structural property of semantic trees that \(\mathsf{T}(w) =\{ \mathcal{R},\mathcal{B}_{i}\}_{i\in \mathbb{N}}\) is a semantic tree with root γ. Since χ ∈ ImpConf(γ), this means that there exist \(\gamma ' \in \mathcal{I}\) and \(i \in \mathbb{N}\) such that (i) \(\gamma ' \in \mathcal{B}_{i}\) and \(\neg Br_{i}\gamma '\) is one of the conjuncts of χ or (ii) \(\gamma '\notin \mathcal{B}_{i}\) and Br i γ′ is one of the conjuncts of χ. Since we assumed that \(M,w\models \chi\), this means that (i) \(\gamma ' \in \mathcal{B}_{i}\) and \(M,w\models \neg Br_{i}\gamma '\) or (ii) \(\gamma '\notin \mathcal{B}_{i}\) and \(M,w\models Br_{i}\gamma '\), which is a contradiction given the semantics of the operators Br i . We conclude that \(M,w\models \neg \chi\), and thereby that \(R\gamma \rightarrow \neg \chi\) for χ ∈ ImpConf(γ) is a valid principle on the class of models TE. □ 

Proof (Lemma 1).

Let \(\mathcal{T} =\{ \mathcal{R},\mathcal{B}_{i}\}_{i\in \mathbb{N}} \in \mathcal{P}(\mathcal{I})^{\mathbb{N}}\) s.t. \(\mathcal{T}\) is not a semantic tree with root γ. Then, for every semantic tree \(\mathcal{T}^{{\ast}} =\{ \mathcal{R}^{{\ast}},\mathcal{B}_{0}^{{\ast}},\ldots,\mathcal{B}_{n}^{{\ast}}\}\) with root γ, there exist \(\gamma ' \in \mathcal{I}\) and \(i \in \mathbb{N}\) such that (i) \(\gamma ' \in \mathcal{B}_{i}^{{\ast}}\) and \(\gamma '\notin \mathcal{B}_{i}\), or (ii) \(\gamma '\notin \mathcal{B}_{i}^{{\ast}}\) and \(\gamma ' \in \mathcal{B}_{i}\). We construct X as follows: for each semantic tree \(\mathcal{T}^{{\ast}} =\{ \mathcal{R}^{{\ast}},\mathcal{B}_{0}^{{\ast}},\ldots,\mathcal{B}_{n}^{{\ast}}\}\) with root γ, (i) if there exists γ′ such that \(\gamma ' \in \mathcal{B}_{i}^{{\ast}}\) and \(\gamma '\notin \mathcal{B}_{i}\) we let \(\neg Br_{i}\gamma ' \in X\), and (ii) if there exists γ′ such that \(\gamma '\notin \mathcal{B}_{i}^{{\ast}}\) and \(\gamma ' \in \mathcal{B}_{i}\) we let Br i γ′ ∈ X. By construction, we have that X is a γ-tree impossible configuration such that (i) if \(\neg Br_{i}\gamma ' \in X\) then \(\gamma '\notin \mathcal{B}_{i}\) and (ii) if Br i γ′ ∈ X then \(\gamma ' \in \mathcal{B}_{i}\). □ 

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Hamami, Y. (2016). A Dynamic Logic of Interrogative Inquiry. In: Başkent, C. (eds) Perspectives on Interrogative Models of Inquiry. Logic, Argumentation & Reasoning, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-20762-9_8

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