For true deep processing and learning, intellectualism, one must think beyond the single source they are consuming and think about everything they know. Although keep in mind selective attention for true learning and thinking.

This process is habitualized by means of Zettelkasten and further aided in tool like hypothes.is

Niklas Luhmann's zettelkasten system doesn't impose a heirarchy upon it's contents and in some ways its structure anticipates the ideas of hypertext and the internet's structure.

Also similar to the idea from Umberto Eco: https://hypothes.is/a/jqug2tNlEeyg2JfEczmepw

Think of branches not as collections, but rather as conversations

When a branch starts to build, or prove itself, then ask the question (before indexing): "What is the conversation that is building here?"

Also related to Sönke Ahrens' maxim of seeking Disconfirming Information to counter Confirmation Bias. By thinking of branches as conversations instead of collectives, you are also more inclined to put disconfirming information within the branch.

The author goes into the correlation between categorization (branching) and the use of the index and the focus on them respectively. He mentions he "learned" that branching would be more beneficial than the using of the index to make finding the cards easier.

I strongly disagree with this focus. I agree with the "relational" principle of put the card between the one that has the closest proximital conceptual relation. The Zettelkasten's power relies in serendipitous creativity (or creativity/insight by chance), this is facilitated highly by the use of connectivity between cards, where each card as you go down the "hierarchy" of "branches" will be more unrelated to the original topic. (See also Luhmann's paper Communication with Zettelkasten, Manfred Kuehn Translation and Johannes F.K. Schmidt's article on Zettelkasten within Forgetting Machines, as well as his video presentation about Zettelkasten). In short, the friction of searching for cards by following trains of thought through connectivity boosters insight by chance and therefore facilitates the power of the system.

This is also, I believe, why Bob Doto argues to let categories emerge after the creation of notes/streams of thought instead of making the names for the "branches" up front.

I believe Luhmann himself also emphasized the use of the index by calling it a system of "query into the database," the index is the main navigational map for the Zettelkasten. If you have a question for your "communication partner" the index is the way to go. For example, if I wanted to know the impact of cognitive load theory within employee management as a CEO, I would go to my index and collect the entrances for both "branches" or terms, and then start reading these thought streams... Afterward, I might synthesize and create a new branch somewhere, in one of the aforementioned categories, or an entire new one, where I put the results of this questioning.

My own system of numbering and branching in this way is the following: A number signifies a note's position within a stream of thought. I branch off if, following the relational principle, a note adds unto a thought on a specific card, but not the stream specifically. This gets signified by a letter.

So, 1a1, 1a2, 1a3, and 1a4 are all part of the same stream while 1a, 1b, and 1c would all be different "branches" stemming from the original card that would be 1 in this case. This can repeat infinitely, therefore facilitating what Luhmann calls "Infinite potential for inward growth" of the system. It's autopoietic and cybernetic. (See also: The Radical Luhmann by Hans-Georg Moeller).

Something that can benefit the finding of notes once the system grows sufficiently large is the use of "structure" or "hub" cards where you put down a few key entrances to concepts related to this stream of thought or "branch" in remote sections of the Zettelkasten.

Seems similar to Communicating with an Antinet Zettelkasten.

Alright Jerry, you got me, I'm in!

https://render.betaworks.com/thinkcamp-a-betaworks-accelerator-program-for-tools-for-thinking-de7e18bf5682

1. Luhmann, Die Gesellschaft der Gesellschaft , 82f.

People have evolved as social animals and this extends to thinking and interacting. We think better when we think socially (in groups) as opposed to thinking alone.

This in part may be why solo reading and annotating improves one's thinking because it is a form of social annotation between the lone annotator and the author. Actual social annotation amongst groups may add additonal power to this method.

I personally annotate alone, though I typically do so in a publicly discoverable fashion within Hypothes.is. While the audience of my annotations may be exceedingly low, there is at least a perceived public for my output. Thus my thinking, though done alone, is accelerated and improved by the potential social context in which it's done. (Hello, dear reader! 🥰) I can artificially take advantage of the social learning effects even if the social circle may mathematically approach the limit of an audience of one (me).

Most writing systems and forms force a beginning and an end, they force a particular structure that is both finite and limiting. The card index (zettelkasten) may have a beginning—there's always a first note or card, but it never has to have an end unless one's ownership is so absolute it ends with the life of its author. There are an ever-increasing number of ways to order a card index, though some try to get around this to create some artificial stability by numbering or specifically ordering their cards. New ideas can be accepted into the index at a multitude of places and are always internally mobile and re-orderable.

link to Luhmann's works on describing this sort of rhizomatic behavior of his zettelkasten

Within a network model framing for a zettelkasten, one might define thinking as traversing a graph of idea nodes in a particular order. Alternately it might also include randomly juxtaposing cards and creating links between ones which have similarities. Which of these modes of thinking has a higher order? Which creates more value? Which requires more work?

Embodied cognition is a theory in psychology that a the mind is shaped by entire body of an organism. The mind is not only attached to the body, but the body influences the mind. Movement of the body doesn't just amplify one's spoke language, for humans, but it helps to create cognitive and communicative functions that language cannot, and these extend not only to viewers, but the communicator themself.

(Gadamer 2004).

All intellectual endeavors start from a preexisting set of ideas. These can then be built upon to create new concepts which then influence the original starting point and may continue ever expanding with further thought.

Ahrens argues that most writing advice goes against the idea of the hermeneutic circle and pretends as if the writer is starting with a blank page. This can prefigure some of the stress and difficulty Ernest Hemingway spoke of when he compared writing to "facing the white bull which is paper with no words on it."

While it can be convenient to think of the idea of tabula rasa, in practice it really doesn't exist. As a result the zettelkasten more readily shows its value in the writing process.

From a computer science perspective, isn't the index card functioning like an external memory, albeit one with somewhat pre-arranged linked paths? It's the movement through the machine's various paths that is doing the "thinking". Or the user's (active) choices that create the paths creates the impression of thinking.

Perhaps it's the pre-arranged links where the thinking has already happened (based on "work" put into the system) and then traversing the paths gives the appearance of "new" thinking?

How does this relate to other systems which can be thought of as thinking from a complexity perspective? Bacteria perhaps? Groups of cells acting in concert? Groups of people acting in concert? Cells seeing out food using random walks? etc?

From this perspective, how can we break out the constituent parts of thought and thinking? Consciousness? With enough nodes and edges and choices of paths between them (or a "correct" subset of paths) could anything look like thinking or computing?

Opening up social annotation and connecting it to a network of researchers' public-facing zettelkasten could create a sea-change of thought

This is a broader concept I'm developing, but thought I'd bookmark this question here as an indicator that others are also interested in the question though they may not have a means of getting there (yet).

Trying out ideas in public, for/with small networks, in a distinctive way brings compound rewards for you.

This is definitely a restatement of the idea of blogging as a thought space, but done perhaps in a broader context. Tom's experiments with Discord for creating and documenting online conversations also becomes a method of networked thinking that allows these discussions to aggregate and reach wider audiences.

This sounds a lot like a zettelkasten and the way it branches, it's just being done between multiple people and the zettelkasten instead of just one person.

Yes, yes, yes. Networked learning IS experiential. I am always on the lookout for opportunities to facilitate those experiences - for my students and myself, and consider every embrace of glorious messiness a significant victory.