Nodal Point of Thought2019-02-18

- [[Header Table of Contents is a tree]]
- [[Relational connections between fragments]]
- [[Link from Scrapbox text]]

• The KJ method focuses on seem relevant, not [be similar

• Scrapbox does not tag stock associations.

• → Associations, not analogies

• 

• Consider that the KJ method is done by a machine, not a human: The machine does the KJ method..

  • Device for generating associations Suppose R is given
  • It is a device that takes one fragment as input and returns another fragment
  • There are already various ways to realize this: Relational connections between fragments.

• However, the KJ method finds “Things that might be relevant” from the 100 written down and places them nearby.

• I naively thought this “seem relevant” was similarity, but that is incorrect.

  • In fact, when I teach the KJ method, I repeatedly say, “It’s not about collecting similarities.
  • Examples: Conflict is a close relationship What is a relationship?
  • Just as Scrapbox, the stock of associations, encourages new associative connections via 2-hop links, so does this search.

• From the given 100, we search by association, and the first pair that merges is the “likely related pair”. - Confluence of associations

  • I thought of associative device as having fragments as input and fragments as output
  • But in the KJ method, “something that might be related” doesn’t have to be verbalized at the right time to lay out “why it’s related.”
  • Posteriori connected: Relationships where topics are connected….
  • Isn’t it too restrictive for an associative device to output fragments?
  • Couldn’t it be a vector instead of a language?
    • I thought that, when you look at it as a vector, if you reduce the flow of “language → vector → vector → language”, it is “language → language” after all, and there is only an implementation pattern of an associative device that “involves a vector in the associative process”.

• Annotation to assign a 2D vector to a set of short sentences = KJ method.

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