Conversation

Analysis of memory in learning is often framed in terms of probabilities, e.g. the chance you'll recall something on a test, which might decline over time. This does describe the data, but it's funny how alien this is to how memory feels. It does not *feel* like a binomial draw!
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I often feel like I can "almost" remember something (but then can't), or like I "easily" remember something. Experimentally, these judgments do map to recall probabilities, but is it actually a stochastic process?
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I tend to identify more with models of forgetting which aren't truly stochastic, but which can be *described by* probabilities at a macro scale. For instance, encoding variability theory suggests that recall depends on overlap between mental state at encoding and recall.
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Because mental states will naturally vary as you move about and think different thoughts, this naturally gives rise to a memory behavior you can describe with probabilities, but it's not like your brain is rolling dice. The "randomness" comes from behavior & the environment.
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(Encoding variability theory is also a nice potential mechanistic explanation for the spacing effect: when cramming you re-encode an item several times with the ~same mental state; when spacing, you encode it against different mental states, thus more chance for future overlap)
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Replying to
💡 Using large language models for determining whether I’ll be able to remember something from a given domain later today. Sounds like a recommender sort of dynamic. Learned of encoding variability theory in biopsychology but had lost the term, thx.
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healing is pretty simple, all i have to do is integrate multiple past selves into a cohesive, singular unit within my present-day body while also functioning at a high enough level to participate in and survive the same world originally responsible for shattering me into pieces