Hi, Workload is only one factor, there is also accuracy of recall :-)
I would suggest picking the tool you feel most comfortable with, based on algorithm, features and ease of use. Kind regards, Peter -----Original Message----- From: [email protected] <[email protected]> On Behalf Of [email protected] Sent: 19 April 2018 16:32 To: mnemosyne-proj-users <[email protected]> Subject: Re: [mnemosyne-proj-users] Why don't anki or mnemosyne use newer SM versions? Le jeudi 19 avril 2018 04:04:01 UTC-3, Peter Bienstman a écrit : > Hi, > > Personally, I'm not convinced that later versions offer all that much > improvement over older versions. Keep in mind that predicting intervals is a > heuristic anyway, and not an exact science. Additionally, Supermemo is > commercial software, so having a new scheduler each release is a nice > commercial selling point :-) > > Finally, Mnemosyne is built in a very modular fashion, so if somebody wants > to write a plugin with a different scheduler, that's entirely possible. > > Cheers, > > Peter > > -----Original Message----- > From: [email protected] > <[email protected]> On Behalf Of [email protected] > Sent: 19 April 2018 06:49 > To: mnemosyne-proj-users <[email protected]> > Subject: [mnemosyne-proj-users] Why don't anki or mnemosyne use newer SM > versions? > > Hi everyone! I'm new here. > > I've been using spaced repetition software for quite a while with the > "repetitions" app, and later on switched to the new tinycards app from the > creators of duolingo. However, the webapp limitation to have only 150 cards > per collection is really frustrating me and I've been evaluating anki or > mnemosyne as a new flashcard app. > > I've noticed, though, that both anki and mnemosyne seem to use something > called SM 2 algorithm to calculate the frequency of repetition. However, I've > also seen that SuperMemo (creators of the sm algorithm?) works with a much > newer version. > > Upon doing some more research I came across this site that explains what has > been improved with each iteration. > https://www.supermemo.com/help/smalg.htm#Historic_note:_earlier_releases_of_the_algorithm > > It all sounds good and the latest versions seem to improve the older versions > in very convenient ways. > > Now I'm also intrigued about using supermemo, but I still do like some > featurese that mnemosyne has, like different types of cards so that I can add > pronunciation to the words that I learn in other languages. > > What's the reason behind sticking to version 2 of SM? I can't help but to > feel like we're missing optimizations. I want to pick a new flashcard > software ASAP but this makes it quite hard. > > Cheers! > > -- > You received this message because you are subscribed to the Google Groups > "mnemosyne-proj-users" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To post to this group, send email to [email protected]. > To view this discussion on the web visit > https://groups.google.com/d/msgid/mnemosyne-proj-users/f1e4733f-2522-4a17-81c6-4a388a2d5141%40googlegroups.com. > For more options, visit https://groups.google.com/d/optout. Thanks for your response! and thanks for your work with the software, as well :) Although I also thought of the commercial reasons, and I personally believe that sm2 is enough to learn stuff by itself, what I've seen that "worries" me a little is the difference in workload. Particularly about this part in the algorithms's comparison article: "Feb 22, 2018: We have finally added a simulation of Algorithm SM-2 to SuperMemo for Windows and have come up with the average least squares metric of 53.5685% (for Algorithm SM-2). For comparison, Algorithm SM-17 results in 37.1202% (a million repetitions dataset). This may not sound impressive, however, for shorter intervals, the load of repetitions might easily be 2-10x greater assuming no delays (i.e. executing repetitions as prescribed). Back in 1989, we could see that even Algorithm SM-5 would reduce repetition loads twice as fast as SM-2. For comparison, Algorithm SM-17 rarely goes 5pp above Algorithm SM-15 in R-Metric measure, and even small gains have a significant impact on workload (esp. at shorter intervals)." link http://supermemopedia.com/index.php?title=SuperMemo_or_Anki What do you think? -- You received this message because you are subscribed to the Google Groups "mnemosyne-proj-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/mnemosyne-proj-users/f5514894-0888-4508-9e9a-b1eda26e0d57%40googlegroups.com. For more options, visit https://groups.google.com/d/optout. -- You received this message because you are subscribed to the Google Groups "mnemosyne-proj-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/mnemosyne-proj-users/9d2ed397327842f7bb9113e450aec848%40xmail102.UGent.be. For more options, visit https://groups.google.com/d/optout.
