I found this spaced repetition algorithm: ebisu <https://github.com/fasiha/ebisu> - its written in python and is fairly simple to work with. I thought that perhaps an experimental scheduler could be implemented in Mnemosyne, as it may help with your research. There's a well explained how-to <https://github.com/fasiha/ebisu/blob/gh-pages/EbisuHowto.ipynb> on how to use it, so Peter and the other devs may be interested. The only difficulty I've had so far with this is that it calculates its halflife, ie. time until P(recall) is 50%. For contrast, supermemo is 90% by default (10% forgetting index). Beyond that, the insights in the math behind the algorithm may also be of value.
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