A Bayesian formulation of the kalam cosmological argument
Bibliographic Data
| ID | 20312459 |
|---|---|
| Authors | Calum Miller (0000-0003-3408-1737, University of Oxford, corresponding author) |
| Year | 2014 |
| Volume | 50 |
| Issue | 4 |
| Pages | 521-534 |
| Publication date | 2014-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Religious Studies (JOURNAL) |
| Journal identifiers | ISSN: 0034-4125 • E-ISSN: 1469-901X |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s0034412514000171 |
| OpenAlex | W2123188111 |
| Language | EN |
| Citations received | 2 |
| References cited | 4 |
There has been a trend within natural theology to present arguments for theism deductively, such that at least one of the premises is likely to be extremely controversial. For those arguments with less controversial premises, the conclusion is usually something short of theism. On these grounds, some have employed probabilistic reasoning to revive classical arguments – to use less controversial premises in achieving a conclusion directly relevant to whether theism is true or not. Here, I formulate the kalam cosmological argument in Bayesian terms, and argue that doing so renders many objections levelled against it obsolete
Argument (complex analysis) · Bayesian probability · Epistemology · Probabilistic logic · Theism · Artificial Intelligence · Computer Science · Evolution and Science Education · Philosophy · Religion, Spirituality, and Psychology · Theology and Philosophy of Evil
| Citations per year | 0.5 |
|---|---|
| Citation span | 2022 - 2024 (3) |
| Highly cited | No |