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Explanatory Conditionals

Published online by Cambridge University Press:  01 January 2022

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Abstract

This article aims to complement causal model approaches to causal explanation by James Woodward, Joseph Halpern and Judea Pearl, and Michael Strevens. It centers on a strengthened Ramsey Test of conditionals: α≫γ if and only if, after suspending judgment about α and γ, an agent can infer γ from the supposition of α (in the context of further beliefs in the background). Holger Andreas and Mario Günther used this conditional as the starting point of an analysis of ‘because’ in natural language. I refine this analysis so as to yield a fully fledged account of (deterministic) causal explanation.

Information

Type
Logic, Formal Epistemology, and Decision Theory
Copyright
Copyright © The Philosophy of Science Association
Figure 0

Figure 1. Neuron diagram. (Source: Paul and Hall 2013, 71.)

Figure 1

Figure 2. Inferential path. ED = electrical discharge, RT = rise of temperature, FL = flash of lightning, and T = thunder.