Causal and Evidential Conditionals
Publication type: Journal Article
Publication date: 2022-07-11
scimago Q1
wos Q2
SJR: 1.339
CiteScore: 7.8
Impact factor: 3.4
ISSN: 09246495, 15728641
Artificial Intelligence
Philosophy
Abstract
We put forth an account for when to believe causal and evidential conditionals. The basic idea is to embed a causal model in an agent’s belief state. For the evaluation of conditionals seems to be relative to beliefs about both particular facts and causal relations. Unlike other attempts using causal models, we show that ours can account rather well not only for various causal but also evidential conditionals.
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Total citations:
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Citations from 2024:
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TY - JOUR
DO - 10.1007/s11023-022-09606-w
UR - https://doi.org/10.1007/s11023-022-09606-w
TI - Causal and Evidential Conditionals
T2 - Minds and Machines
AU - Günther, Mario
PY - 2022
DA - 2022/07/11
PB - Springer Nature
SN - 0924-6495
SN - 1572-8641
ER -
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@article{2022_Günther,
author = {Mario Günther},
title = {Causal and Evidential Conditionals},
journal = {Minds and Machines},
year = {2022},
publisher = {Springer Nature},
month = {jul},
url = {https://doi.org/10.1007/s11023-022-09606-w},
doi = {10.1007/s11023-022-09606-w}
}