A decision matrix is a very simple tool that can give an overview of an argument. Points for and against each alternative have positive and negative values.
However, if those values themselves depend on other calculations, or are interdependent, the decision matrix provides no way to display that, so it is not a complete modelling language.
Not quite in the same class as the listed software. Useful, I’ve used them, but they get really complicated with more variables. If you look at what they’ve got, it doesn’t exactly seem bayesian. They don’t work of probability, but off of absolute truths. Debating each piece of minutia in a sort of tree structure. It could definitely be improved upon.
A decision matrix is a very simple tool that can give an overview of an argument. Points for and against each alternative have positive and negative values.
However, if those values themselves depend on other calculations, or are interdependent, the decision matrix provides no way to display that, so it is not a complete modelling language.
Not quite in the same class as the listed software. Useful, I’ve used them, but they get really complicated with more variables. If you look at what they’ve got, it doesn’t exactly seem bayesian. They don’t work of probability, but off of absolute truths. Debating each piece of minutia in a sort of tree structure. It could definitely be improved upon.