Arguments Score = Sum of [Sub argument scores] * their [Linkage Scores] * their [Unique Scores]

[myklob]

We should track each ideas score over time, similar to how we track a stock's performance.
Arguments will have scores, depending on the quantity and quality of sub-arguments that strengthen or weaken each argument.
Ultimately a conclusion's strength depends on the relative strength of supporting arguments and evidence.
I propose the following steps to determining an argument's score, and then playing with the features until we get the algorithm "right".

• Adding the number of pro arguments
• Subtracting the number of con arguments

Separation Distance, SD = 1

• Adding the scores of reasons that agree
• Subtracting the scores of reasons to disagree

Separation Distance, SD = 2

• Adding the score of reasons to agree with reasons to agree
• Subtracting the scores of reasons to disagree with reasons to disagree
• Adding the scores of reasons to disagree with reasons to disagree
• Subtracting the scores of reasons to agree with reasons to disagree.

Each sub-argument score would be multiplied by it's linkage and unique score, before being counted towards the conclusion score.

A multiplier could be used to reduce the strength of arguments the greater their separation distance, SD.