Skip to main content
Log in

Truth approximation, belief merging, and peer disagreement

  • Published:
Synthese Aims and scope Submit manuscript

Abstract

In this paper, we investigate the problem of truth approximation via belief merging, i.e., we ask whether, and under what conditions, a group of inquirers merging together their beliefs makes progress toward the truth about the underlying domain. We answer this question by proving some formal results on how belief merging operators perform with respect to the task of truth approximation, construed as increasing verisimilitude or truthlikeness. Our results shed new light on the issue of how rational (dis)agreement affects the inquirers’ quest for truth. In particular, they vindicate the intuition that scientific inquiry, and rational discussion in general, benefits from some heterogeneity in opinion and interaction among different viewpoints. The links between our approach and related analyses of truth tracking, judgment aggregation, and opinion dynamics, are also highlighted.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. In a multiset, each element can appear more than once: thus, while the two sets \(\{T_1,T_2,T_2\}\) and \(\{T_1,T_2\}\) are the same, the two multisets \([T_1,T_2,T_2]\) and \([T_1,T_2]\) are different. In both cases the order of elements is irrelevant.

  2. The discussion of arbitration merging, and of other kinds of operators, in connection with truth approximation deserves further research, but has to be left for another occasion.

  3. After Miller (1974) and Tichý (1974) independently proved that, on the basis of Popper’s own definition of verisimilitude, a false theory can never be closer to the truth than another (true or false) theory, such authors as Niiniluoto (1987, 1999b), Kuipers (1987, 2000), Oddie (1986), Festa (1987, 2007) and Schurz and Weingartner (1987, 2010) developed a number of post-Popperian theories of verisimilitude that succeed in avoiding the problems encountered by Popper’s definition. A survey of the history of theories of verisimilitude is provided by Niiniluoto (1998); see also Oddie (2008, 2013) for a comparison and an assessment of different accounts, and Cevolani and Tambolo (2013) for an introduction to the verisimilitudinarian approach to scientific progress.

  4. Two examples of such distance measures are the “average” measure proposed by Oddie (1986)—who defines \(\varDelta _{}(T,c_\star )\) as the average distance of the constituents in \(\fancyscript{R}_{T}\) from \(c_\star \)—and the “min-sum” measure proposed by Niiniluoto (1987)—defined as a weighted sum of the minimum distance of \(T\) and of the normalized sum of all distances of the constituents in \(\fancyscript{R}_{T}\) from \(c_\star \).

  5. A survey of the main results obtained so far can be found in the introductory essay by Kuipers and Schurz (2011) to a special issue of Erkenntnis entirely devoted to the topic of Belief Revision Aiming at Truth Approximation; see in particular the contributions by Niiniluoto (2011), Cevolani et al. (2011), Kuipers (2011), and Schurz (2011). See also Cevolani et al. (2013) and Cevolani (2013) for further work in this direction.

  6. Essentially the same kind of examples can be used to show why the revision of a false theory by true inputs may be less verisimilar than the original theory; cf. Schurz (2011, p. 210, example 4) and Kuipers and Schurz (2011, p. 154).

  7. Indeed, \( Vs _{\phi }\) satisfies the stronger condition that, among true theories, the one with the greater number of matches is more verisimilar than the other; i.e., if \(T_1\) and \(T_2\) are true and \( cont _{t}(T_1,c_\star )> cont _{t}(T_2,c_\star )\) then \( Vs _{\phi }(T_1)> Vs _{\phi }(T_2)\).

  8. Note the difference between the merging and the AGM revision of c-theories \(T_1\) and \(T_2\), which amounts to \(T_1*T_2 = T_2 \wedge X_{T_1T_2}\) (Cevolani et al. 2011, p. 193).

References

  • Alchourrón, C., Gärdenfors, P., & Makinson, D. (1985). On the logic of theory change: Partial meet contraction and revision functions. Journal of Symbolic Logic, 50, 510–530.

    Article  Google Scholar 

  • Betz, G. (2013). Debate dynamics: How controversy improves our beliefs. Dordrecht: Springer.

  • Cevolani, G. (2013). Truth approximation via abductive belief change. Logic Journal of the IGPL, 21(6), 999–1016.

    Article  Google Scholar 

  • Cevolani, G. (2014). Social epistemology, debate dynamics, and truth approximation. Manuscript.

  • Cevolani, G., Crupi, V., & Festa, R. (2011). Verisimilitude and belief change for conjunctive theories. Erkenntnis, 75(2), 183–202.

    Article  Google Scholar 

  • Cevolani, G., Festa, R., & Kuipers, T. A. F. (2013). Verisimilitude and belief change for nomic conjunctive theories. Synthese, 190(16), 3307–3324.

    Article  Google Scholar 

  • Cevolani, G., & Tambolo, L. (2013). Progress as approximation to the truth: A defence of the verisimilitudinarian approach. Erkenntnis, 78(4), 921–935.

    Article  Google Scholar 

  • Douven, I., & Kelp, C. (2011). Truth approximation, social epistemology, and opinion dynamics. Erkenntnis, 75, 271–283.

    Article  Google Scholar 

  • Everaere, P., Konieczny, S., Marquis, P. (2010). The epistemic view of belief merging: Can we track the truth? In: Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence, IOS Press, Amsterdam, pp 621–626, http://dl.acm.org/citation.cfm?id=1860967.1861089.

  • Festa, R. (1987). Theory of similarity, similarity of theories, and verisimilitude. In T. A. F. Kuipers (Ed.), What is closer-to-the-truth? (pp. 145–176). Amsterdam: Rodopi.

    Google Scholar 

  • Festa, R. (2007). Verisimilitude, cross classification, and prediction logic. Approaching the statistical truth by falsified qualitative theories. Mind and Society, 6, 37–62.

    Article  Google Scholar 

  • Frances, B. (2010). Disagreement. In D. Pritchard & S. Bernecker (Eds.), Routledge companion to epistemology. London: Routledge.

    Google Scholar 

  • Gärdenfors, P. (1988). Knowledge in flux: Modeling the dynamics of epistemic states. Cambridge, MA: MIT Press.

    Google Scholar 

  • Goldman, A. I. (1999). Knowledge in a social world. Oxford: Oxford University Press.

    Book  Google Scholar 

  • Hansson, S. O. (2011). Logic of belief revision. In E. N. Zalta (Ed.), The stanford encyclopedia of philosophy.

  • Hartmann, S., & Sprenger, J. (2012). Judgment aggregation and the problem of tracking the truth. Synthese, 187(1), 209–221.

    Article  Google Scholar 

  • Konieczny, S., & Pino Pérez, R. (2002). Merging information under constraints: A logical framework. Journal of Logic and Computation, 12, 773–808.

    Article  Google Scholar 

  • Konieczny, S., & Pino Pérez, R. (2011). Logic based merging. Journal of Philosophical Logic, 40, 239–270.

    Article  Google Scholar 

  • Kuipers, T., & Schurz, G. (2011). Introduction and overview. Erkenntnis, 75, 151–163.

    Article  Google Scholar 

  • Kuipers, T. A. F. (1987). A structuralist approach to truthlikeness. In T. A. F. Kuipers (Ed.), What is closer-to-the-truth? (pp. 79–99). Amsterdam: Rodopi.

    Google Scholar 

  • Kuipers, T. A. F. (2000). From instrumentalism to constructive realism. Dordrecht: Kluwer.

    Book  Google Scholar 

  • Kuipers, T. A. F. (2011). Basic and refined nomic truth approximation by evidence-guided belief revision in agm-terms. Erkenntnis, 75, 223–236.

    Article  Google Scholar 

  • Linstone, H. A., & Turoff, M. (1975). The Delphi method. Reading, MA: Addison-Wesley.

  • List, C. (2012). The theory of judgment aggregation: An introductory review. Synthese, 187(1), 179–207.

    Article  Google Scholar 

  • Mill, J. S. (1848). The principles of political economy. In J. M. Robson (Ed.), Collected works, vol. III. Toronto & London: University of Toronto Press/Routledge and Kegan Paul, 1965. http://oll.libertyfund.org.

  • Mill, J. S. (1859). On liberty. In On liberty and the subjection of women, 1879. New York: Henry Holt & Co. http://oll.libertyfund.org.

  • Miller, D. (1974). Popper’s qualitative theory of verisimilitude. The British Journal for the Philosophy of Science, 25(2), 166–177.

    Article  Google Scholar 

  • Niiniluoto, I. (1987). Truthlikeness. Dordrecht: Reidel.

    Book  Google Scholar 

  • Niiniluoto, I. (1998). Verisimilitude: The third period. The British Journal for the Philosophy of Science, 49(1), 1–29.

    Article  Google Scholar 

  • Niiniluoto, I. (1999a). Belief revision and truthlikeness. In B. Hansson, S. Halldén, N. E. Sahlin, W. Rabinowicz (Eds.), Internet Festschrift for Peter Gärdenfors, Department of Philosophy, Lund University, Lund. http://www.lucs.lu.se/spinning/.

  • Niiniluoto, I. (1999b). Critical scientific realism. Oxford: Oxford University Press.

  • Niiniluoto, I. (2011). Revising beliefs towards the truth. Erkenntnis, 75(2), 165–181.

    Article  Google Scholar 

  • Oddie, G. (1986). Likeness to truth. Dordrecht: Reidel.

    Book  Google Scholar 

  • Oddie, G. (2008). Truthlikeness. In E. N. Zalta (Ed.), The Stanford Encyclopedia of Philosophy.

  • Oddie, G. (2013). The content, consequence and likeness approaches to verisimilitude: Compatibility, trivialization, and underdetermination. Synthese, 190(9), 1647–1687.

    Article  Google Scholar 

  • Pigozzi, G. (2006). Belief merging and the discursive dilemma: An argument-based account to paradoxes of judgment aggregation. Synthese, 152, 285–298.

    Article  Google Scholar 

  • Popper, K. R. (1963). Conjectures and Refutations: The growth of scientific knowledge (3rd ed.). London: Routledge and Kegan Paul.

    Google Scholar 

  • Riegler, A., & Douven, I. (2009). Extending the Hegselmann–Krause model III: From single beliefs to complex belief states. Episteme, 6(2), 145–163.

    Article  Google Scholar 

  • Schurz, G. (2011). Verisimilitude and belief revision. With a focus on the relevant element account. Erkenntnis, 75(2), 203–221.

    Article  Google Scholar 

  • Schurz, G., & Weingartner, P. (1987). Verisimilitude defined by relevant consequence-elements. In T. Kuipers (Ed.), What is closer-to-the-truth? (pp. 47–77). Amsterdam: Rodopi.

  • Schurz, G., & Weingartner, P. (2010). Zwart and Franssen’s impossibility theorem holds for possible-world-accounts but not for consequence-accounts to verisimilitude. Synthese, 172, 415–436.

    Article  Google Scholar 

  • Tichý, P. (1974). On Popper’s definitions of verisimilitude. The British Journal for the Philosophy of Science, 25(2), 155–160.

    Article  Google Scholar 

  • Zamora Bonilla, J. (2007). Optimal judgment aggregation. Philosophy of Science, 74(5), 813–824.

    Article  Google Scholar 

  • Zamora Bonilla, J. (2012). The economics of scientific knowledge. In U. Mäki (Ed.), Philosophy of economics (pp. 823–862). Amsterdam: Elsevier.

Download references

Acknowledgments

Earlier versions of this paper were presented at the workshop on “Realism, Antirealism, and the Aims of Science” in Trieste (30 June 2012) and at the 5th Copenhagen Lund Workshop on Social Epistemology in Lund (6–7 December 2012). I’d like to thank the participants in those conferences, and in particular Gregor Betz, Jesús Zamora Bonilla, Vincenzo Crupi, Vincent Hendricks, Erik Olsson, Carlo Proietti, and Frank Zenker, for their useful comments. I’m also grateful to Roberto Festa, Theo Kuipers, Gabriella Pigozzi, Luca Tambolo and to two anonymous referees for providing valuable feedback on the first draft of the paper. Support is acknowledged from the Deutsche Forschungsgemeinschaft (priority program “New Frameworks of Rationality”, SPP 1516, grant CR 409/1-1) and from the Italian Ministry of Scientific Research (FIRB project “Structures and Dynamics of Knowledge and Cognition”, Turin unit, D11J12000470001).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gustavo Cevolani.

Appendix: Proofs

Appendix: Proofs

We first introduce some notation and terminology. Given a c-theory \(T\), a completion of \(T\) is any constituent \(c_i\) of \(\fancyscript{L}_{n}\) which agrees with all the claims of \(T\). One can check that \(c_i\in \fancyscript{R}_{T}\) iff \(c_i\) is a completion of \(T\). The reversal of a constituent is another constituent, which is the conjunction of all the negations of the conjuncts of the former constituent. By extension, the reversal of a sentence \(X\) is the sentence which contains, in its range, the reversal of each constituent appearing in \(\fancyscript{R}_{X}\) (Oddie 1986, p. 50). One can check that, given a c-theory \(T\), the reversal of \(T\) is just the conjunction of the negations of the claims of \(T\); this was called the “specular” of \(T\) by Cevolani et al. (2011, p. 186).

Proof of result(8) Let be \(E=[T_1,\dots ,T_k]\) a profile of \(k\) c-theories. Recall from (3) that \(E^{\circ } = \bigvee \{c_i: \varDelta _{ min }({E},{c_i})\text { is minimal}\}\), where \(\varDelta _{}(E,c_i)= \sum _{T_j\in E} \varDelta _{ min }({T_j},{c_i})\). Note that, if \(T_j\) is a c-theory, the closest constituent in \(\fancyscript{R}_{T_j}\) to \(c_i\) is the completion of \(T_j\) which agree with \(c_i\) on all the basic sentences which are indeterminate in \(T_j\); thus, \(\varDelta _{ min }({T_j},{c_i})\) is just the number of mismatches between \(T_j\) and \(c_i\). In turn, \(\varDelta _{}(E,c_i)\) is the sum of the number of mismatches between \(c_i\) and each \(T_j\) in \(E\). Moreover, one can check that this sum can be equivalently expressed as the the sum, for each basic sentence \(b\) appearing in \(c_i\), of the number of theories in \(E\) rejecting \(b\). This means that \(c_i\) is the closer to \(E\), the smaller the number of theories in \(E\) rejecting each of its claims.

Let be \(c_i\) and \(c_h\) two constituents differing only because \(b\) is accepted in \(c_i\) and rejected in \(c_h\). Then \(c_i\) is closer than \(c_h\) to \(E\) iff: 1) either some \(T_j\) in \(E\) accepts \(b\) and no \(T_j\) in \(E\) rejects \(b\); 2) or there are in \(E\) both theories accepting \(b\) and theories rejecting \(b\), but the former are more than the latter. This means that all the constituents closest to \(E\) will agree on each basic sentence \(b\) such that the number of theories in \(E\) accepting \(b\) is greater than the number of those rejecting it. The conjunction of such \(b\) is exactly the c-theory \(E^{\circ }\).

Proof of result(9) Let be \(T_1\) and \(T_2\) two c-theories. As Fig. 2 shows, they can be expressed, respectively, as \(T_1\equiv O_{T_1T_2}\wedge C_{T_1T_2}\wedge X_{T_1T_2}\) and \(T_1\equiv O_{T_2T_1}\wedge C_{T_2T_1}\wedge X_{T_2T_1}\). Note also that, on the one hand, the claims of \(O_{T_1T_2}=O_{T_2T_1}\), of \(X_{T_1T_2}\), and of \(X_{T_2T_1}\) are rejected neither by \(T_1\) nor by \(T_2\). On the other hand, each claim of \(C_{T_1T_2}\) and of \(C_{T_2T_1}\) is rejected by one theory and accepted by the other. From result (8), it follows that \(T_1\circ T_2 = O_{T_1T_2}\wedge X_{T_1T_2} \wedge X_{T_2T_1}\).

Proof of result(10) Let be \(T_1\) and \(T_2\) two c-theories. Note first that, as one can easily check, measure \( Vs _{\phi }\) as defined in (7) is additive in the sense that, given a c-theory \(T\), \( Vs _{\phi }(T)=\sum _{b} Vs _{\phi }(b)\) where \(b\) is a claim of \(T\). Thus, e.g., \( Vs _{\phi }(T_1)= Vs _{\phi }(O_{T_1T_2})+ Vs _{\phi }(C_{T_1T_2})+ Vs _{\phi }(X_{T_1T_2})\). From result (9), it follows that \(T_1\circ T_2 = O_{T_1T_2}\wedge X_{T_1T_2} \wedge X_{T_2T_1}\). Then \( Vs _{\phi }(T_1\circ T_2)> Vs _{\phi }(T_1)\) iff \( Vs _{\phi }(O_{T_1T_2})+ Vs _{\phi }(X_{T_1T_2})+ Vs _{\phi }(X_{T_2T_1})> Vs _{\phi }(O_{T_1T_2})+ Vs _{\phi }(C_{T_1T_2})+ Vs _{\phi }(X_{T_1T_2})\) iff \( Vs _{\phi }(X_{T_2T_1})> Vs _{\phi }(C_{T_1T_2})\). Similarly, \( Vs _{\phi }(T_1\circ T_2)> Vs _{\phi }(T_2)\) iff \( Vs _{\phi }(X_{T_1T_2})> Vs _{\phi }(C_{T_2T_1})\).

Proof of result(11) Let be \(T_1\) and \(T_2\) two c-theories and suppose that there is no weak disagreement between \(T_1\) and \(T_2\), i.e., that their extra parts are “empty”. From result (9) it follows that \(T_1\circ T_2 = O_{T_1T_2}\). Moreover, from result (10) it follows that \( Vs _{\phi }(T_1\circ T_2) > Vs _{\phi }(T_1)\) iff \( Vs _{\phi }(C_{T_1T_2})<0\) and \( Vs _{\phi }(T_1\circ T_2)> Vs _{\phi }(T_2)\) iff \( Vs _{\phi }(C_{T_2T_1})<0\). Note that, by definition, the conflicting part of \(T_1\) is the reversal of the conflicting part of \(T_2\), and vice versa. One can check that, if \(\phi \ge 1\), then \( Vs _{\phi }(C_{T_1T_2})>0\) iff \( Vs _{\phi }(C_{T_2T_1})<0\). In fact, \( Vs _{\phi }(C_{T_1T_2})>0\) iff, by definition (7), \( cont _{t}(C_{T_1T_2},c_\star )>\phi cont _{f}(C_{T_1T_2},c_\star )\), i.e., if \(T\) makes more matches than mistakes. But since, by definition, \( cont _{t}(C_{T_1T_2},c_\star )= cont _{f}(C_{T_2T_1},c_\star )\) and \( cont _{f}(C_{T_1T_2},c_\star )= cont _{t}(C_{T_2T_1},c_\star )\), this means that \(C_{T_2T_1}\) makes more mistakes than matches and hence, given \(\phi \ge 1\), that \( Vs _{\phi }(C_{T_2T_1})<0\). It then follows that \( Vs _{\phi }(T_1\circ T_2) > Vs _{\phi }(T_1)\) iff \( Vs _{\phi }(T_1\circ T_2)< Vs _{\phi }(T_2)\), and vice versa.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cevolani, G. Truth approximation, belief merging, and peer disagreement. Synthese 191, 2383–2401 (2014). https://doi.org/10.1007/s11229-014-0486-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11229-014-0486-2

Keywords

Navigation