diff options
author | Thanos Apollo <[email protected]> | 2024-08-07 14:46:10 +0300 |
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committer | Thanos Apollo <[email protected]> | 2024-08-07 14:47:49 +0300 |
commit | 109c47f1dc0fbc47cbd0d37989e5fc0009a5e837 (patch) | |
tree | 1d0f50c32dfdaa3548dd7602c92ec575cde9d0c9 | |
parent | 741acfcb4c35359e8975f65ba1e16eb0d981c874 (diff) |
packaging: Update version & commentary.
-rw-r--r-- | gnosis-algorithm.el | 31 | ||||
-rw-r--r-- | gnosis.el | 25 |
2 files changed, 20 insertions, 36 deletions
diff --git a/gnosis-algorithm.el b/gnosis-algorithm.el index 559bb4d..a8930a3 100644 --- a/gnosis-algorithm.el +++ b/gnosis-algorithm.el @@ -24,26 +24,8 @@ ;;; Commentary: -;; Handles date calculation as well as ef & interval calculations. - -;; Gnosis implements a highly customizable algorithm, inspired by SM-2. -;; Gnosis algorithm does not use user's subjective rating of a note to -;; determine the next review interval, but instead uses the user's -;; success or failure in recalling the answer of a note. - -;; Each gnosis note has an ef (easiness factor), which is a list of 3 -;; values. The last value is the total ef for a note, which will be -;; used to determine the next interval upon a successful answer recall, -;; the second value is the ef-decrease value, this value will be -;; subtracted from the the total ef upon failure to recall the answer of -;; a note, the first value is the ef increase, will be added to the -;; total ef upon a successful recall. - -;; Each gnosis deck has a gnosis-algorithm-ef-threshold, it's an -;; integer value that refers to the consecutive success or failures to -;; recall an answer. Upon reaching the threshold, gnosis-algorithm-ef-decrease -;; or gnosis-algorithm-ef-increase will be applied to the ef-increase or -;; ef-decrease of note. +;; Module that handles date and interval calculation as well as +;; gnosis-score for notes. ;;; Code: @@ -68,19 +50,18 @@ Third item : Total gnosis (gnosis-synolon/totalis) -> Total gnosis score" :type '(list float)) (defcustom gnosis-algorithm-amnesia-value 0.5 - "Gnosis forgetting factor. + "Gnosis amnesia value. -Used to calcuate new interval for failed questions. +Used to calcuate new interval upon a failed recall i.e the memmory loss. -The closer this value is to 0, the closer it is to total amnesia for -each a recall. This value should be less than 1.0." +The closer this value is to 1, the more the memory loss." :group 'gnosis :type 'float) (defcustom gnosis-algorithm-epignosis-value 0.1 "Value to increase gnosis-plus upon anagnosis. -Epignosis means knowledge accuracy.." +Epignosis means knowledge accuracy." :group 'gnosis :type 'float) @@ -5,7 +5,7 @@ ;; Author: Thanos Apollo <[email protected]> ;; Keywords: extensions ;; URL: https://thanosapollo.org/projects/gnosis -;; Version: 0.3.2 +;; Version: 0.4.0 ;; Package-Requires: ((emacs "27.2") (emacsql "20240124") (compat "29.1.4.2") (transient "0.7.2")) @@ -24,16 +24,19 @@ ;;; Commentary: -;; Gnosis is a spaced repetition system for note taking and -;; self-testing. Notes are organized in a Question/Answer/Explanation -;; format and reviewed at spaced intervals. Interval durations are -;; based on the success or failure of recalling the answer to each -;; question. - -;; Gnosis uses a highly customizable algorithm. Unlike traditional -;; methods, it doesn't depend on subjective user ratings to determine -;; the next review interval. Instead, it evaluates the user's success -;; or failure in recalling an answer by typing it. +;; Gnosis (γνῶσις) is a spaced repetition system that enhances memory +;; retention through active recall. It employs a Q&A format, where each +;; note consists of a question, answer, and explanation. Notes are +;; reviewed at optimally spaced intervals based on the user's success or +;; failure to recall the answer. Key benefits arise from writing out +;; answers when reviewing notes, fostering deeper understanding +;; and improved memory retention. + +;; Gnosis algorithm is highly adjustable, allowing users to set specific +;; values not just for note decks but for tags as well. Gnosis' +;; adjustability allows users to fine-tune settings not only for entire +;; note collections but also for specific tagged topics, thereby creating +;; a personalized learning environment for each topic. ;;; Code: |