Skip to main content
Log in

Twelve great papers: comments and replies. Response to a special issue on logical perspectives on science and cognition—The philosophy of Gerhard Schurz

  • S.I.: LogPerSciCog
  • Published:
Synthese Aims and scope Submit manuscript

Abstract

This is a response to the papers in the special issue Logical Perspectives on Science and CognitionThe Philosophy of Gerhard Schurz.

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.

Similar content being viewed by others

Notes

  1. It is provable that Σ1≤i<nP(Wi) = 1 and for all i, P(Wi)/Σi<j<nP(Wj) = (1 − ε)/ε. Let m be the maximal number of worlds in one layer. Then τ-cumulativity is satisfied if ε < (1 − τ)/τ·(m+1).

  2. As Votsis remarks in his fn. 10, this characterization is admittedly vague and gradual. It can be made precise in two way. (1.) By setting as threshold, e.g., by defining a concept as observational if it is learned after at most 30 training instances by at least 80% of all tp's. Since every such threshold criterion is somewhat artificial, a better alternative would be to define a quantitative degree of observability, DO, based on the shape of the learning curve (see fig. 7 in Schurz 2015b). A simple measure of this sort could be the average of the terms "(100 − nτ)+" for all thresholds τ ranging between 50 and 100%. Here nτ is the number of training instances after which τ% of all tp's have learned the concept and x+ is max(x,0); thus for all concepts that are not even learned after 100 instances by at least 50 % of tp's the DO is zero..

  3. He remarks in fn. 7 that this fact has been proved for propositional but not yet for full first order logic. Let me add that the fact is easily provable for second order logic; thus by including certain second order consequences of T in E(T) one can always make E(T) logically equivalent with T.

  4. There is a misspelling: instead of “va” and “ka” in should be “va” and “ka”.

  5. Another interpretation of Kuipers' models are ∃-formulas of the form ∃xQx, where Qx is a Carnapian Q-predicate of a monadic 1st order language. ∃-formulas and their negations are the conjuncts of so-called constituents specifying which kinds of individuals (possibly) exist and which don't (cf. Niiniluoto, sec. 3, in this volume). While the full nomic truth \( {\boldsymbol{{\mathcal{T}}}} \) would correspond to a complete constituent, a two-sided Kuipers theory <M,cP> would be a partial one, M containing some positive and some negated ∃-formulas. In this interpretation, constraints are not needed, because monadic ∃- formulas cannot contradict each other.

  6. Also the interpretation in fn. 5 is not applicable to actual truthlikeness.

References

  • Adams, E. W. (1998). A primer of probability logic. Stanford: CSLI Publications.

    Google Scholar 

  • Asch, S. (1956). Studies of independence and conformity I. Psychological Monographs 70/9.

  • Balzer, W., Moulines, C. U., & Sneed, J. D. (1987). An architectonic for science. Dordrecht: Reidel.

    Google Scholar 

  • Cartwright, N. (1999). Causal diversity and the Markov condition. Synthese,121(1/2), 3–27.

    Google Scholar 

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

    Google Scholar 

  • Cevolani, G., & Festa, R. (2009). Scientific change, belief dynamics and truth approximation. La Nuova Critica,51(52), 27–59.

    Google Scholar 

  • Elqayam, S., Thompson, V. A., Wilkinson, M. R., Evans, J. S. B. T., & Over, D. E. (2015). Deontic introduction: A theory of inference from is to ought. Journal of Experimental Psychology. Learning, Memory, and Cognition,41, 1516–1532.

    Google Scholar 

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

    Google Scholar 

  • Hawkins, D. I., et al. (2004). Consumer behavior (9th ed.). New York: McGraw-Hill.

    Google Scholar 

  • Heys, W., & Winkler, R. (1970). Statistics: Probability, inference, and decision (Vol. I). New York: Holt.

    Google Scholar 

  • Hilpinen, R. (1976). Approximate truth and truthlikeness. In M. Przelecki, K. Szaniawski, & R. Wojcicki (Eds.), Formal methods in the methodology of empirical sciences (pp. 19–42). Dordrecht: D. Reidel.

    Google Scholar 

  • Kuipers, T. A. F. (1982). Approaches to descriptive and theoretical truth. Erkenntnis,18, 343–378.

    Google Scholar 

  • Kuipers, T. (2016). Models, postulates, and generalized nomic truth approximation. Synthese,193(10), 3057–3077.

    Google Scholar 

  • Leitgeb, H. (2004). Inference on the low level. Dordrecht: Kluwer.

    Google Scholar 

  • Leitgeb, H. (2017). The stability of belief. Oxford: Oxford University Press.

    Google Scholar 

  • Makinson, D. (1965). The paradox of the preface. Analysis,25(6), 205–207.

    Google Scholar 

  • Miller, D. (1978). On the distance from the truth as a true distance. In J. Hintikka, et al. (Eds.), Essays on mathematical and philosophical logic (pp. 166–177). Dordrecht: Reidel.

    Google Scholar 

  • Milne, P. (2005). Not every truth has a truthmaker. Analysis,65, 221–224.

    Google Scholar 

  • Näger, P. M. (2013). Causal graphs for EPR experiments. Retrieved from http://philsci-archive.pitt.edu/id/eprint/9915.

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

    Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

  • Oddie, G. (2016). Truthlikeness. In E. N. Zalta (Ed.), The stanford encyclopedia of philosophy. http://plato.stanford.edu.

  • Prior, A. N. (1960). The autonomy of ethics. Australasian Journal of Philosophy,38, 199–206.

    Google Scholar 

  • Raven, B., & Rubin, J. Z. (1983). Social psychology. New York: Wiley.

    Google Scholar 

  • Reichenbach, H. (1938). Experience and prediction. Chicago: University of Chicago Press.

    Google Scholar 

  • Salmon, W. (1984). Scientific explanation and the causal structure of the world. Princeton: Princeton University Press.

    Google Scholar 

  • Schippers, M., & Schurz, G. (2018). Genuine confirmation and tacking by conjunction. British Journal for the Philosophy of Science (online-first). https://doi.org/10.1093/bjps/axy005.

  • Schurz, Ch. (2015). Contextual-hierarchical reconstructions of the strengthened liar problem. Journal of Philosophical Logic,44, 517–550.

    Google Scholar 

  • Schurz, G. (1983). Wissenschaftliche Erklärung. Graz: dbv Verlag.

    Google Scholar 

  • Schurz, G. (1991). Relevant deduction. Erkenntnis,35, 391–437.

    Google Scholar 

  • Schurz, G. (1997). The is-ought problem: An investigation in philosophical logic. Dordrecht: Kluwer.

    Google Scholar 

  • Schurz, G. (2002). Ceteris paribus laws: Classification and deconstruction. Erkenntnis,57(3), 351–372.

    Google Scholar 

  • Schurz, G. (2004). Normic laws, nonmonotonic reasoning, and the unity of science. In S. Rahman, et al. (Eds.), Logic, epistemology, and the unity of science (pp. 181–211). Dordrecht: Kluwer.

    Google Scholar 

  • Schurz, G. (2008). The meta-inductivist’s winning strategy in the prediction game: A new approach to Hume’s problem. Philosophy of Science,75(3), 278–305.

    Google Scholar 

  • Schurz, G. (2010). Non-trivial versions of Hume’s is-ought thesis and their presuppositions. In C. R. Pigden (Ed.), Hume on “is” and “ought” (pp. 198–216). London: Palgrave Macmillan.

    Google Scholar 

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

    Google Scholar 

  • Schurz, G. (2012). Meta-Induction in epistemic networks and social spread of knowledge. Episteme,9(2), 151–170.

    Google Scholar 

  • Schurz, G. (2014a). Philosophy of science: A unified approach. New York: Routledge.

    Google Scholar 

  • Schurz, G. (2014b). Bayesian pseudo-confirmation, use-novelty, and genuine confirmation. Studies in History and Philosophy of Science,45, 87–96.

    Google Scholar 

  • Schurz, G. (2014c). Criteria of theoreticity: Bridging statement and non statement view. Erkenntnis,79(8), 1521–1545.

    Google Scholar 

  • Schurz, G. (2015a): Wahrscheinlichkeitstheorie [transl.: probabilty theory]. Berlin and New York: De Gruyter.

  • Schurz, G. (2015b). Ostensive learnability as a test criterion for theory-neutral observation concepts. Journal for General Philosophy of Science,46(1), 139–153.

    Google Scholar 

  • Schurz, G. (2017). Interactive causes: Revising the Markov condition. Philosophy of Science,84(3), 456–479.

    Google Scholar 

  • Schurz, G. (2018). Truthlikeness and approximate truth. In J. Saatsi (Ed.), Routledge handbook of scientific realism (pp. 133–148). Oxford: Routledge.

    Google Scholar 

  • Schurz, G. (2019a). Hume’s problem solved: The optimality of meta-induction. Cambridge, MA: MIT Press.

    Google Scholar 

  • Schurz, G. (2019b). Impossibility results for rational belief. Noûs,53(1), 134–159.

    Google Scholar 

  • Schurz, G., & Gebharter, A. (2016). Causality as a theoretical concept: Explanatory warrant and empirical content of the theory of causal nets. Synthese,193(4), 1073–1103.

    Google Scholar 

  • Schurz, G., & Hertwig, R. (2019). “Cognitive Success”. Topics in Cognitive Science (online first). https://doi.org/10.1111/tops.12410.

  • Schurz, G., & Lambert, K. (1994). Outline of a theory of scientific understanding. Synthese,101(1), 65–120.

    Google Scholar 

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

    Google Scholar 

  • 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.

    Google Scholar 

  • Shalev-Shwartz, S., & Ben-David, S. (2014). Understanding machine learning. From theory to algorithms. New York: Cambridge University Press.

    Google Scholar 

  • Tichý, P. (1976). Verisimilitude redefined. The British Journal for the Philosophy of Science,27, 25–42.

    Google Scholar 

  • Van Fraassen, B. (1989). Laws and symmetry. Oxford: Clarendon Press.

    Google Scholar 

  • Wilson, N. (2013). An order of magnitude calculus. Retrieved from https://arxiv.org/abs/1302.4989.

  • Zwart, S. D., & Franssen, M. (2007). An impossibility theorem for verisimilitude. Synthese,158(1), 75–92.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gerhard Schurz.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Schurz, G. Twelve great papers: comments and replies. Response to a special issue on logical perspectives on science and cognition—The philosophy of Gerhard Schurz. Synthese 197, 1661–1695 (2020). https://doi.org/10.1007/s11229-019-02329-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11229-019-02329-z

Keywords

Navigation