Pedro, Leonardo (2023) Non-informative priors vs. Fermi Paradox and Artificial General Intelligence. [Preprint]
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Abstract
In Bayesian inference there is always a prior probability distribution, and there is no prior which is better for all cases: we always have to make assumptions. This has profound implications for the concepts of extraterrestrial intelligence and artificial general intelligence.
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| Item Type: | Preprint | ||||||
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| Subjects: | Specific Sciences > Physics > Astrophysics Specific Sciences > Biology > Evolutionary Theory Specific Sciences > Artificial Intelligence Specific Sciences > Probability/Statistics |
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| Depositing User: | Leonardo Pedro | ||||||
| Date Deposited: | 21 Apr 2023 12:59 | ||||||
| Last Modified: | 21 Apr 2023 12:59 | ||||||
| Item ID: | 21998 | ||||||
| Subjects: | Specific Sciences > Physics > Astrophysics Specific Sciences > Biology > Evolutionary Theory Specific Sciences > Artificial Intelligence Specific Sciences > Probability/Statistics |
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| Date: | 21 April 2023 | ||||||
| URI: | https://philsci-archive.pitt.edu/id/eprint/21998 |
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