Akiba, K. (2000). Shogenji’s probabilistic measure of coherence is incoherent. Analysis, 60, 356–359.
Baumberger, C. (2019). Explicating objectual understanding: Taking degrees seriously. Journal for General Philosophy of Science. (forthcoming)
Bengson, J. (2015). A noetic theory of understanding and intuition as sense-maker. Inquiry, 58, 633–668.
Bokulich, A. (2012). Distinguishing explanatory from nonexplanatory fictions. Philosophy of Science, 79, 725–737.
Carter, J. A., & Gordon, E. C. (2014). Objectual understanding and the value problem. American Philosophical Quarterly, 51, 1–13.
Cohen, L. J. (1992). An essay on belief and acceptance. Oxford: Clarendon Press.
Cooper, N. (1994). Understanding. Aristotelian Society Supplementary, 68, 1–26.
Dellsén, F. (2017). Understanding without justification or belief. Ratio, 30, 239–254.
Dellsén, F. (2018a). Beyond explanation: Understanding as dependency modeling. The British Journal for the Philosophy of Science,. https://doi.org/10.1093/bjps/axy058.
Dellsén, F. (2018b). Deductive cogency, understanding, and acceptance. Synthese, 195, 3121–3141.
Elgin, C. Z. (2004). True enough. Philosophical Issues, 14, 113–131.
Elgin, C. Z. (2007). Understanding and the facts. Philosophical Studies, 132, 33–42.
Elgin, C. Z. (2009). Is understanding factive? In A. Haddock, A. Millar, & D. Pritchard (Eds.), Epistemic value (pp. 322–330). Oxford: Oxford University Press.
Elgin, C. Z. (2017). True enough. Cambridge, MA: MIT Press.
Fitelson, B. (2003). A probabilistic theory of coherence. Analysis, 63, 194–199.
Foley, R. (1992). The epistemology of belief and the epistemology of degrees of belief. American Philosophical Quarterly, 29, 111–124.
Foley, R. (2009). Belief, degrees of belief, and the lockean thesis. In F. Huber & C. Schmidt-Petri (Eds.), Degrees of belief (pp. 37–47). Dordrecht: Springer.
Frigg, R., & Nguyen, J. (2016). The fiction view of models reloaded. The Monist, 99, 225–242.
Gijsbers, V. (2015). Can probabilistic coherence be a measure of understanding. Theoria: Revista de Teoría Historia y Fundamentos de la Ciencia, 30, 53–71.
Greco, J. (2014). Episteme: Knowledge and understanding. In K. Timpe & C. A. Boyd (Eds.), Virtues and their vices (pp. 285–302). Oxford: Oxford University Press.
Grimm, S. (2006). Is understanding a species of knowledge? British Journal for the Philosophy of Science, 57, 515–535.
Grimm, S. (2011). Understanding. In S. Bernecker & D. Pritchard (Eds.), Routledge companion to epistemology (pp. 84–94). London: Routledge.
Grimm, S. (2014). Understanding as knowledge of causes. In A. Fairweather (Ed.), Virtue epistemology naturalized: Bridges between virtue epistemology and philosophy of science (pp. 347–360). Dordrecht: Springer.
Hamblin, C. L. (1973). Questions in montague English. Foundations of Language, 10, 41–53.
Hills, A. (2016). Understanding why. Nous, 50, 661–688.
Huemer, M. (2009). Explanationist aid for the theory of inductive logic. British Journal for the Philosophy of Science, 60, 345–375.
Jaynes, E. T. (2003). Probability theory: The logic of science. Cambridge: Cambridge University Press.
Kelp, C. (2015). Understanding phenomena. Synthese, 192, 3799–3816.
Kelp, C. (2017). Towards a knowledge-based account of understanding. In S. Grimm, C. Baumberger, & S. Ammon (Eds.), Explaining understanding: Perspectives from epistemology and philosophy of science (pp. 251–271). New York, NY: Routledge.
Keynes, J. M. (1921). A treatise on probability. London: Macmillan.
Khalifa, K. (2013a). Is understanding explanatory or objectual? Synthese, 190, 1153–1171.
Khalifa, K. (2013b). Understanding, grasping, and luck. Episteme, 10, 1–17.
Khalifa, K. (2016). Must understanding be coherent? In S. Grimm, C. Baumberger, & S. Ammon (Eds.), Explaining understanding: Perspectives from epistemology and philosophy of science (pp. 139–164). London: Routledge.
Khalifa, K. (2017). Understanding, explanation, and scientific knowledge. Cambridge: Cambridge University Press.
Kvanvig, J. (2003). The value of knowledge and the pursuit of understanding. Cambridge: Cambridge University Press.
Kyburg, H. E. (1961). Probability and the logic of rational belief. Middletown, CT: Wesleyan University Press.
Laplace, P.-S. (1951). A philosophical essay on probabilities. New York: Dover.
Lawler, I. (2016). Reductionism about understanding why. Proceedings of the Aristotelian Society, 116, 229–236.
Lawler, I. (2018). Scientific understanding and felicitous legitimate falsehoods. Unpublished manuscript.
Leitgeb, H. (2014). The stability theory of belief. Philosophical Review, 123, 131–171.
Leitgeb, H. (2017). The stability theory of belief. Oxford: Oxford University Press.
Lewis, D. (1980). A subjectivist’s guide to objective chance. In R. C. Jeffrey (Ed.), Studies in inductive logic and probability (Vol. 2, pp. 263–93). Berkeley: University of California Press.
Makinson, D. C. (1965). The paradox of the preface. Analysis, 25, 205–207.
Mizrahi, M. (2012). Idealizations and scientific understanding. Philosophical Studies, 160, 237–252.
Nelkin, D. K. (2000). The lottery paradox, knowledge, and rationality. The Philosophical Review, 109, 373–409.
Olsson, E. J. (2005). Against coherence: Truth, probability, and justification. Oxford: Oxford University Press.
Pritchard, D. (2009). Knowledge, understanding, and epistemic value. In A. O’Hear (Ed.), Epistemology (royal institute of philosophy lectures) (pp. 19–43). Cambridge: Cambridge University Press.
Riggs, W. D. (2009). Understanding, knowledge, and the meno requirement. In A. Haddock, A. Millar, & D. H. Pritchard (Eds.), Epistemic value. Oxford: Oxford University Press.
Rosenkrantz, R. D. (1977). Inference, model and decision: Towards a Bayesian philosophy of science. Dordrecht: Reidel.
Schupbach, J. N. (2011). New hope for Shogenji’s coherence measure. British Journal for the Philosophy of Science, 62, 125–142.
Shogenji, T. (1999). Is coherence truth-conducive? Analysis, 59, 338–345.
Shogenji, T. (2001). Reply to Akiba on the probabilistic measure of coherence. Analysis, 61, 147–150.
Simon, H. A. (1956). Rational choice and the structure of the environment. Psychological Review, 63, 129–138.
Sliwa, P. (2015). Understanding and knowing. Proceedings of the Aristotelian Society, 115, 57–74.
Strevens, M. (2017). How idealizations provide understanding. In S. Grimm, C. Baumberger, & S. Ammon (Eds.), Explaining understanding: New essays in epistemology and philosophy of science (pp. 37–49). New York: Routledge.
Sullivan, E., & Khalifa, K. (2019). Idealizations and understanding: Much ado about nothing? Australasian Journal of Philosophy,. https://doi.org/10.1080/00048402.2018.1564337.
van Fraassen, B. C. (1980). The scientific image. Oxford: Clarendon.
Weisberg, J. (2009). Locating IBE in the Bayesian framework. Synthese, 167, 125–143.
Wilkenfeld, D. A. (2016). Understanding without believing. In S. Grimm, C. Baumberger, & S. Ammon (Eds.), Explaining understanding: Perspectives from epistemology and philosophy of science (pp. 318–334). New York: Routledge.
Wilkenfeld, D. A. (2018). Understanding as compression. Philosophical Studies,. https://doi.org/10.1007/s11098-018-1152-1.
Zagzebski, L. (2001). Recovering understanding. In M. Steup (Ed.), Knowledge, truth, and duty (pp. 235–252). Oxford: Oxford University Press.