The Mnemosyne algorithm is very similar to SM2 used in one of the early versions of SuperMemo. We only ask that, should that analysis ever result in a scientific journal paper, we become coauthors of that paper. Since the data was contributed by people on a voluntary basis, it would be unethical to restrict access to it or charge money for it.Īnyone interested can contact us to help analyse the data. The data collected by the Mnemosyne Project will made available to everyone. ![]() This could potentially give us very valuable insight into the nature of long-term memory and the ultimate performance of spaced repetition. Looking to the future, we would like to continue to collect data over a very long time span (years and hopefully decades). The Mnemosyne Project has been collecting data since 2006. Secondly, since we have no commercial interest, there is no need for us to claim that the algorithm in a next (expensive!) version is really better than the one in the version you already bought. Also, thanks to the internet, we can easily gather the anonymous data, without requiring any user intervention (after they gave their initial permission, of course). As Mnemosyne is completely free and will always remain so in the future, there is no barrier for new users to participate. These two needs are best served with open source software. In order to get such data in a statistically relevant way, one needs two things: However, most of these programs are commercial, and therefore there is no real independently verifiable data that e.g. There are several similar programs out there, implementing different spaced repetition algorithms with various levels of sophistication. The first thing we will investigate is how well our scheduling algorithm performs, how robust it is with respect to late revisions, etc. Let's see how this works in practice in the Mnemosyne program. It is clear that a computer program can be very valuable in assisting you in this process, by keeping track of how difficult you find an card and by doing the scheduling of the revisions. ![]() This allows you to focus on things you still haven't mastered, while not wasting time on cards you remember very well. Based on the work of these people, it was shown that in order to get the best results, the intervals between revisions of the same card should gradually increase. This is what is called the spacing effect.ĭuring the past 120 years, there has been considerable research into these aspects of human memory (by e.g. However, as you probably know from experience, it is much more effective to space out these revisions over the course over several days, rather than cramming all the revisions in a single session. When you have memorised something, you need to review that material, otherwise you will forget it. Here, we discuss some of the principles behind the Mnemosyne project:įor an overview of using the software, see the Getting Started guide.
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