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Do pro/con trees actually work in real life? I played with something like this when using Kialo for a while, and my impression was that this technique doesn't help much. Shoehorning everything into a pro or con is one thing, duplication of points in many places in a tree is another. I abandoned Kialo with a conclusion that pro/con trees don't map well to reality; we need graphs of facts and their relationships. (Also, my gut feeling is that when you're talking about "arguments" instead of "facts", "evidence" and probabilities, you're in business of convincing, not truth seeking). But that's not to diss this project. As an implementation of pro/con trees it's excellent, and I'd prefer typing in this language a millon times more than clicking around Kialo. |
It seems (but I might be wrong) that this syntax allows for nodes to also reference other nodes rather than embedding them (see e.g. the third example on the page, though it’s too trivial to tell if that’s what it’s doing for sure.) I think they expect you to draft the argument map, then go back over it and iteratively reduce it by manually normalizing duplicate sub-arguments into one canonical sub-argument in one place + references to it in other places.
> Also, my gut feeling is that when you're talking about "arguments" instead of "facts", "evidence" and probabilities, you're in business of convincing, not truth seeking.
Usually the point of this kind of software (argument-mapping software) is to, first, efficiently capture an argument that exists, either as a sort of “court stenographer” during the argument, or from a recording after the fact. You want the tree of pros and cons (really, rebuttals / consequents / syllogisms / a bunch of other smaller categories) because you’re trying to capture the structure of the discussion itself.
Then, once you have captured that structure, argument-mapping software has tooling to allow you to massage (refactor!) the discussion from its original shape, into one that lets you more efficiently get at the truth. Turn things graphical, assign arguments weights, unify duplicate branches, etc.
Argument mapping is not just about pro/con trees; but pro/con trees are a nearly-lossless way to capture how people actually debate things, so they’re a good “ingested primary source” format to keep around and refer back to when you’re trying to summarize and judge a debate (rather than having to listen to the audio transcript over and over, or read through a linear stream of debate text.)