Abstract
Abduction is the process of generating hypotheses for explanation-seeking phenomena (and possibly also non-explanatory problems). While this process has often been taken as no more than spontaneous impulse, Peirce held that it was an inference. Today, apart from Peirce’s original statement of the abductive inference, the Gabbay-Woods model (or simply the GW model) is presumably the most prominent account of it. This model is introduced and evaluated. One main problem is seen in the delimitation of the abductive task and the criterion for the validity of abduction. Here, the GW-model and other accounts appear to be vague, and this vagueness might be due to the all too well-known confusion of abduction with inference to the best explanation (IBE). In what follows, abduction is first analyzed in its overall connection with deduction and induction, then in terms of inferential sub-processes (i.e., colligation, observation, and judgment), and finally with respect to the validity criterion for abduction, which is seen in “coherence.” In the section that follows, the concept of coherence is discussed, especially against the backdrop of it being taken as a criterion for “truth.” Here, the processes of generating hypotheses and (dis-)confirming them have to be kept as strictly apart as abduction and IBE. Based on the idea that abduction basically consists in making incoherent pieces of information coherent, the final part discusses how far non-deliberative cognitive functioning can be understood in terms of abduction, particularly in terms of abductive inferences, and what this means for the overall project of pragmatism.
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References
Aliseda, A. (2006). Abductive reasoning: Logical investigation into discovery and explanation. Springer.
Aliseda, A. (2017). The logic of abduction: An introduction. In L. Magnani & T. Bertolotti (Eds.), Handbook of model-based science (pp. 219–230). Springer.
BonJour, L. (1985). The structure of empirical knowledge. Harvard University Press.
Campos, D. G. (2011). On the distinction between Peirce’s abduction and Lipton’s inference to the best explanation. Synthese, 180, 419–442.
Clark, A. (2015). Radical predictive processing. Southern Journal of Philosophy, 53(S1), 3–27.
Clark, A. (2017). Busting out: Predictive brains, embodied minds, and the puzzle of the evidentiary veil. Noûs, 51(4), 727–753.
Evans, J., & Stanovich, K. E. (2013). Dual-process theories of higher cognition: Advancing the debate. Perspectives on Psychological Science, 8, 223–241.
Ewing, A. C. (1934). Idealism: A critical survey. Methuen.
Flach, P., & Kakas, A. (Eds.). (2000). Abduction and induction: Essays on their relation and integration. Kluwer Academic.
Fridland, E. (2021). Skill and strategic control. Synthese, 199, 5937–5964.
Friston, K. (2010). The free-energy principle: A unified brain theory? Nature Reviews – Neuroscience, 11, 127–138.
Friston, K., Rigoli, F., Ognibene, D., Mathys, C., Fitzgerald, T., & Pezzulo, G. (2015). Active inference and epistemic value. Cognitive Neuroscience, 6(4), 187–224.
Friston, K., FitzGerald, T., Rigoli, F., Schwartenbeck, P., O’Doherty, J., & Pezzulo, G. (2016). Active inference and learning. Neuroscience and Biobehavioral Reviews, 68, 862–879.
Gabbay, D. M., & Woods, J. (2005). A practical logic of cognitive systems, Vol. 2: The reach of abduction – Insight and trial. Elsevier.
Haack, S. (1993). Evidence and inquiry: Towards reconstruction in epistemology. Blackwell
Harman, G. (1965). The inference to the best explanation. Philosophical Review, 74(1), 88–95.
Hempel, C. G. (1966). Philosophy of natural science. Prentice-Hall.
Hermkes, R. (2016). Perception, abduction, and tacit inference. In L. Magnani & C. Casadio (Eds.), Model-based reasoning in science and technology – Logical, epistemological, and cognitive issues (pp. S.399–S.418). Springer.
Hintikka, J. (1998). What is abduction? The fundamental problem of contemporary epistemology. Transactions of the Charles S. Peirce Society, 34(3), 503–533.
Hookway, C. (2012). The pragmatic maxim: Essays on Peirce and pragmatism. Oxford University Press.
Iranzo, V. (2007). Abduction and inference to the best explanation. Theoria: An International Journal for Theory, History and Foundations of Science, 22(3), 339–346.
Kahneman, D. (2012). Thinking: Fast and slow. Allen Lane.
Kapitan, T. (1992). Peirce and the autonomy of abductive reasoning. Erkenntnis, 37(1), 1–26.
Kuipers, T. (1999). Abduction aiming at empirical progress or even truth approximation leading to a challenge for computational modelling. Foundations of Science, 4(3), 307–323.
Levi, I. (1991). The fixation of belief and its undoing. Cambridge University Press.
Lewis, C. I. (1946). An analysis of knowledge and valuation. Open Court.
Lipton, P. (2004). Inference to the best explanation (2nd ed.). Routledge.
Mackonis, A. (2013). Inference to the best explanation, coherence and other explanatory virtues. Synthese, 190, 975–995.
Magnani, L. (2001). Abduction, reason and science: Processes of discovery and explanation. Kluwer/Plenum.
Magnani, L. (2009). Abductive cognition: The epistemological and eco-cognitive dimensions of hypothetical reasoning. Springer.
Magnani, L. (2019). Errors of reasoning exculpated: Naturalizing the logic of abduction. In D. Gabbay, L. Magnani, W. Park, & A. V. Pietarinen (Eds.), Natural arguments: A tribute to John Woods (pp. 269–308). College Publications.
McKaughan, D. J. (2008). From ugly duckling to swan: C. S. Peirce, abduction, and the pursuit of scientific theories. Transactions of the Charles Sanders Peirce Society, 44, 446–468.
Minnameier, G. (2004). Peirce-suit of truth – Why inference to the best explanation and abduction ought not to be confused. Erkenntnis, 60, 75–105.
Minnameier, G. (2010). The logicality of abduction, deduction, and induction. In M. Bergman, S. Paavola, A.-V. Pietarinen, & H. Rydenfelt (Eds.), Ideas in action: Proceedings of the applying Peirce conference (pp. 239–251). Nordic Pragmatism Network.
Minnameier, G. (2016). Abduction, selection, and selective abduction. In L. Magnani & C. Casadio (Eds.), Model-based reasoning in science and technology – Logical, epistemological, and cognitive issues (pp. 309–318). Springer.
Minnameier, G. (2017). Forms of abduction and an inferential taxonomy. In L. Magnani & T. Bertolotti (Eds.), Springer handbook of model-based reasoning (pp. 175–195). Springer.
Minnameier, G. (2019). Re-reorienting the logic of abduction and the naturalization of logic. In D. Gabbay, L. Magnani, W. Park, & A. V. Pietarinen (Eds.), Natural arguments: A tribute to John Woods (pp. 353–373). College Publications.
Nepomuceno-Fernández, A., Soler-Toscano, F., & Velsquez-Quesada, F. (2017). Abductive reasoning in dynamic epistemic logic. In L. Magnani & T. Bertolotti (Eds.), Handbook of model-based science (pp. 269–293). Springer.
Niiniluoto, I. (2007). Structural rules for abduction. Theoria: An International Journal for Theory, History and Foundations of Science, 22(3), 325–329.
Niiniluoto, I. (2018). Truth-seeking by abduction. Springer.
Olsson, E. J. (2005). Against coherence: Truth, probability, and justification. Clarendon Press.
Paavola, S. (2005). Peircean abduction: Instinct or inference? Semiotica, 153(1), 131–154.
Paavola, S. (2006). Hansonian and Harmanian abduction as models of discovery. International Studies in the Philosophy of Science, 20, 93–108.
Park, W. (2014). How to learn abduction from animals? – From Avicenna to Magnani. In L. Magnani (Ed.), Model-based reasoning in science and technology – Theoretical and cognitive issues (pp. 207–220). Springer.
Pietarinen, A.-V., & Bellucci, F. (2015). New light on Peirce’s conceptions of retroduction, deduction, and scientific reasoning. International Studies in the Philosophy of Science, 28(4), 353–373.
Polanyi, M. (1958/1998). Personal knowledge: Towards a post-critical philosophy. Routledge.
Polanyi, M. (1966). The tacit dimension. Routledge & Paul.
Popper, K. R. (1935/2002). The logic of scientific discovery. Routledge.
Schurz, G. (1999). Explanation as unification. Synthese, 120, 95–114.
Schurz, G. (2008). Patterns of abduction. Synthese, 164, 201–234.
Schurz, G. (2017). Patterns of abductive inference. In L. Magnani & T. Bertolotti (Eds.), Springer handbook of model-based science (pp. 151–173). Springer.
Stanovich, K. E. (2012). On the distinction between rationality and intelligence: Implications for understanding individual differences in reasoning. In K. J. Holyoak & R. G. Morrison (Eds.), Oxford library of psychology. The Oxford handbook of thinking and reasoning (pp. S.433–S.455). Oxford University Press.
Thagard, P. (2007). Coherence, truth and the development of scientific knowledge. Philosophy of Science, 74, 26–47.
Tiercelin, C. (2005). Abduction and the semiotics of perception. Semiotica, 153(1), 389–412.
Urbański, M., & Klawiter, A. (2018). Abduction: Some conceptual issues. Logic and Logical Philosophy, 27(4), 583–597.
Viola, T. (2016). Peirce on abduction and embodiment. In M. Jung & R. Madzia (Eds.), Pragmatism and embodied cognitive science: From bodily intersubjectivity to symbolic articulation (pp. 251–268). de Gruyter.
Walker, R. C. S. (2018). The coherence theory of truth. In M. Glanzberg (Ed.), The Oxford handbook of truth (pp. 219–237). Oxford University Press.
Woods, J. (2012). Cognitive economics and the logic of abduction. Review of Symbolic Logic, 5(1), 148–161.
Woods, J. (2013). Errors of reasoning: Naturalizing the logic of inference. College Publications.
Woods, J. (2016). Logic naturalized. In J. Redmond, O. Pombo Martins, & A. Nepomuceno Fernández (Eds.), Epistemology, knowledge and the impact of interaction. Logic, epistemology, and the unity of science (Vol. 38). Springer.
Woods, J. (2017). Reorienting the logic of abduction. In L. Magnani & T. Bertolotti (Eds.), Handbook of model-based science (pp. 137–150). Springer.
Young, J. O. (2018). The coherence theory of truth. In E. N. Zalta (Ed.), The Stanford encyclopedia of philosophy. https://plato.stanford.edu/archives/fall2018/entries/truth-coherence/
Yu, S., & Zenker, F. (2018). Peirce knew why abduction isn’t IBE: A scheme and critical questions for abductive argument. Argumentation, 32(4), 569–587.
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Minnameier, G. (2023). The Logical Process and Validity of Abductive Inferences. In: Magnani, L. (eds) Handbook of Abductive Cognition. Springer, Cham. https://doi.org/10.1007/978-3-031-10135-9_3
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