quantified.uncertainty/utility-function-extractor
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NunoSempere 2022-04-11 15:38:38 -04:00
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This repository creates a react webpage that allows to extract a utility function from possibly inconsistent binary comparisons. It presents the users with a series of elements to compare, using merge-sort in the background to cleverly minimize the number of choices needed. Then, it cleverly aggregates them, by taking each element as a reference point in turn, and computing the possible distances from that reference point to all other points, and taking the geometric mean of these distances. This produces a number representing the value of each element, such that the ratios between elements represent the user's preferences: a utility function! This repository creates a react webpage that allows to extract a utility function from possibly inconsistent binary comparisons. It presents the users with a series of elements to compare, using merge-sort in the background to cleverly minimize the number of choices needed. Then, it cleverly aggregates them, by taking each element as a reference point in turn, and computing the possible distances from that reference point to all other points, and taking the geometric mean of these distances. This produces a number representing the value of each element, such that the ratios between elements represent the user's preferences: a utility function!
Initially, users could only input numbers, e.g., "A is `3` times better than B". But now, users can also input distributions, using the [squiggle]() syntax, e.g., "A is `1 to 10` times better than B", or "A is `mm(normal(1, 10), uniform(0,100))` better than B". Initially, users could only input numbers, e.g., "A is `3` times better than B". But now, users can also input distributions, using the [squiggle](https://www.squiggle-language.com/) syntax, e.g., "A is `1 to 10` times better than B", or "A is `mm(normal(1, 10), uniform(0,100))` better than B".
## Object structure ## Object structure