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Dear Esteemed Mathematics Educators, I am reaching out to you today with an exciting proposition - a unique opportunity to engage your students in the application of mathematical principles in an unconventional and meaningful way. It involves a novel algorithm designed to evaluate and promote ideas based on the strength of the reasoning and evidence provided. Here is the formula we're discussing: Conclusion Score (CS) = ∑ [(LS * RS_agree - LS * RS_disagree) * RIW] + ∑ [(LS * ES_agree - LS * ES_disagree) * EIW] + ∑ [(LS * IS_agree - LS * IS_disagree) * IIW] + ∑ [(LS * BS_agree - LS * BS_disagree) * BIW] + ∑ [(LS * IMS_agree - LS * IMS_disagree) * IMIW] + ∑ [(LS * MS_agree - LS * MS_disagree) * MIW] More detailed information about these variables can be found on our websites: https://github.com/myklob/ideastockexchange and https://www.groupintel.org/. In an era where discourse is increasingly digitized, this algorithm operates within a web-based forum. It allows users to submit reaso...

I am writing you to ask for your assistance in promoting "good idea promoting algorithms" such as the following: The above formula would work in an environment were you were able to submit reasons to agree or disagree with a belief, and then you could submit reasons to agree or disagree with those arguments. With this format it place you could count the reasons to agree and subtract the number of reasons to disagree, and then you could integrate the series of reasons to agree with reasons to agree. You should use this equation because: It is unique. I have never seen someone use an algorithm in an attempt to promote good ideas. Math can become more interesting when kids see the variety of ways it can be applied.  Kids are idealistic, and often want to improve the world. Challenging them to try to come up with a good idea promoting algorithm can use this energy, to learn math. This simple that counts the reasons to agree with a conclusion, could change the wold, similar to...

In an online forum that utilizes a relational database to track arguments either supporting or countering conclusions, and allows users to submit their beliefs as reasons to support other beliefs, the deployment of the following algorithm can prove highly advantageous: Or with math: The equation for the idea score can be represented as: Basic Algorithm: Conclusion Score (CS) is a weighted sum of different types of scores, each calculated as the difference between supporting and opposing elements for the given conclusion. It is represented as: Conclusion Score (CS) = ∑ [(LS * RS_agree - LS * RS_disagree) * RIW] + ∑ [(LS * ES_agree - LS * ES_disagree) * EIW] + ∑ [(LS * IS_agree - LS * IS_disagree) * IIW] + ∑ [(LS * BS_agree - LS * BS_disagree) * BIW] + ∑ [(LS * IMS_agree - LS * IMS_disagree) * IMIW] + ∑ [(LS * MS_agree - LS * MS_disagree) * MIW] Where: CS: Conclusion Score LS is the Linkage Score, representing the strength of the connection between an argument and the conclusion it suppo...