I’ve been thinking about this for a while now and I’m not sure I have my thoughts completely organized on it so forgive my tendancy to ramble, but I wanted to toss this out as a starting point… Should loci be considered “elements” when evaluating a system?
There is a ton of discussion about new ideas to reduce the amount of loci needed to memorize X digits or number of cards. New ways to get at data compression are tossed around pretty regularly. There are all kinds of suggestions of new categories or visual element types that can be used within a scene to encode more data so that you only need a handful of loci to memorize a large data set.
On the other hand, simpler scenes with less to encode and decode are much easier to remember, but they require more loci if used for long sequences…
First off, some clarification on terms:
I like to define an “element” as the smallest pre-determined attribute of an image that encodes information, so standard things like person identity, action, object identity, or more esoteric things like color, emotion, texture, vehicle, or some kind of other categorical element. If it is an attribute that needs to be specifically considered and recalled in order to encode or decode information with it, I consider it an “element.” “Images” are made of “elements.” “Scenes” are made of one or more “images” interacting (usually at a loci). A “System” is a way to use scenes, images, elements, and (usually) loci to memorize information.
I usually evaluate systems on the basis of how many digits or cards can you compress into a single element. This forms the basis of how effective I think a system can be. Then I consider the workload needed to learn to pre-associate the numbers or cards to those elements or element types. Finally I look at how difficult scene construction would be and whether its practical to combine elements in the way that is being suggested.
The loci or the amount of loci needed was never really factored in for me when thinking about how many elements or element types were needed to build a system or in how difficult a system would be to use. It was just an assumed factor that expanded or shrunk as needed depending on how much data needed to be encoded. Now though, I wonder if the number of loci should be more heavily weighed when considering a system or if loci should count as elements since they are things that need to be pre-determined as well. The thing is, usually loci aren’t “elements” in my previously defined way. They don’t encode information. (I realize that they actually can and do with techniques like Variable Spacial Encoding where loci and their orientation matter, and maybe that should be a consideration for the 3-card approach… Is it really a true 3-card system if there are two elements needed to encode those cards if we consider how the loci functions as its own individual element… but for the purposes of this I’m looking at traditional use of loci as just scene settings.)
My thinking is that while you need to consider how many loci will be needed to be built and memorized to fluency in order to use the system, they are different than the actual elements that do the encoding. There is no variability in the loci used in this way. Once you learn the loci sequence, you’re set. The loci will always appear in the same order every time you use that palace. So I think you should consider the amount of loci needed, but as a one-time cost to pay. The encoding elements are dual cost by nature. First the cost to learn their associated number or cards, and then an additional cost every time during memorizing because they won’t always appear in the same order with the same interactions at the same loci.
Not 100% sure where I’m ultimately going with this, or what the implications are for evaluating and building new systems, but I definitely am interested in other thoughts on this topic.