book chapter · 2022
Probabilities of Conditionals
Cited by 0Abstract and details only
Abstract
Abstract This chapter extends the results of Chapter 4 by showing how to assign probabilities to refined contents (sets of sequences of worlds) that encode inferential dispositions. The resulting theory predicts a restricted version of Stalnaker’s Thesis (that the probability of a conditional is equal to the conditional probability of its consequent given its antecedent), and it is proven that this version of the Thesis is tenable (that is, not subject to triviality results).
Cite this paper
Khoo, J. (2022). Probabilities of Conditionals. https://doi.org/10.1093/oso/9780190096700.003.0006
Khoo, Justin. “Probabilities of Conditionals.” 2022, pp. 125–68, https://doi.org/10.1093/oso/9780190096700.003.0006.
Khoo, Justin. 2022. “Probabilities of Conditionals.” https://doi.org/10.1093/oso/9780190096700.003.0006.
Khoo, J. (2022) ‘Probabilities of Conditionals’. Available at: https://doi.org/10.1093/oso/9780190096700.003.0006.
@incollection{khoo2022probabilities,
title = {{Probabilities of Conditionals}},
author = {Khoo, Justin},
pages = {125--168},
year = {2022},
doi = {10.1093/oso/9780190096700.003.0006}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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