In Maria Lasonen-Aarnio & Clayton Littlejohn (eds.), The Routledge Handbook of the Philosophy of Evidence. Routledge (2021)

Authors
Nevin Climenhaga
Australian Catholic University
Abstract
This chapter presents a typology of the different kinds of inductive inferences we can draw from our evidence, based on the explanatory relationship between evidence and conclusion. Drawing on the literature on graphical models of explanation, I divide inductive inferences into (a) downwards inferences, which proceed from cause to effect, (b) upwards inferences, which proceed from effect to cause, and (c) sideways inferences, which proceed first from effect to cause and then from that cause to an additional effect. I further distinguish between direct and indirect forms of downwards and upwards inferences. I then show how we can subsume canonical forms of inductive inference mentioned in the literature, such as inference to the best explanation, enumerative induction, and analogical inference, under this typology. Along the way, I explore connections with probability and confirmation, epistemic defeat, the relation between abduction and enumerative induction, the compatibility of IBE and Bayesianism, and theories of epistemic justification.
Keywords Evidence  Inference  Induction  Explanation  Causal networks  Abduction  Analogical arguments  Probability  Foundationalism
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References found in this work BETA

Fact, Fiction, and Forecast.Nelson Goodman - 1955 - Harvard University Press.
Logical Foundations of Probability.Rudolf Carnap - 1950 - Chicago, IL, USA: Chicago University of Chicago Press.

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Citations of this work BETA

An Intuitive Solution to the Problem of Induction.Andrew Dennis Bassford - forthcoming - Principia: An International Journal of Epistemology.
Everything is Self-Evident.Steven Diggin - 2021 - Logos and Episteme: An International Journal of Epistemology 12 (4):413-426.

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