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by rurban
2351 days ago
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> However, most of real-life is not as clear-cut. Deriving the truth of a statement may depend on multiple potentially faulty pieces of evidence which must be taken into account together. For this, one needs to assign probabilities. This what the fuzzy people want you to believe. The logicians have a better answer. For this you need more context. E.g in programming you would add types, pre- and post conditions. And not this statement will be 85% true. As the current AI hype is pretending. |
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To give an example where I think probabilities would be used: consider a recognition AI that should figure out who someone is. You have a phone, on which you have some photos of its owner, some voice recordings, and some text messages. For each of those, the AI can assign probabilities that e.g. my voice matches the recordings, my face matches the photos, and my writing style matches the texts. Then it could combine these into an aggregate estimate probability that the phone belongs to me.
How would you use types and pre- and post- conditions to solve this problem?