THIS IS HISTORY! Check fabien.benetou.fr for news.

Seedea, scalable creativity

Xye, consultancy for serious creators

Information

RSS

(Updates)

CoEvolution > OIMP > Fundamental concepts tree

Fundamental concepts tree

Team
Initiator : Fabien

Goal

The goal is to be able to have a kind of cascading model of how my mind processes any information it encounters (end note 1). Anything has to conform to this model in order to accept it and add it in my then pre-existing network.

By expliciting this model I except to be able to refine it and correct it when necessary. The difficulty stands mostly on verifying its actual accuracy not to "reality" but to my actual implicitly used model.

Cascading model

Previous versions vJuly102008at0922PM?, date2, date3 (use-the wiki-history), study of their evolution over time? and the meta-analysis of the process? (a form of cognitive capitalization).

Examples of uses

Here I will add few situations (new information accepted, rejected, creation of new information, ...) that will show how the model is used. Hopefully real time animation will replace textual depictions soon.

Example from a previous short discussion : Let's imagine that you want to be smarter so that you can make nicer present to a girl you like and not mess it up each and every time. You think :

Then instead of just thinking about it you write it down on a sheet of paper :

Then you smile and you think :

You then decide to use an fMRI or another technic to actually try to match your model to cold hard data. You design an experimental protocol and find that your model was kind of correct but not perfect. You refine it, change it and try it again. Still no perfect, so you do it again (perfect in the sense of realistic, accurate, not ideal). And you keep on repeating the process till you are satisfied.

Template of a concept tree

(positioned correctly in the tree) name, date of added in the model, algorithm, version, sources

Here, by its very structure, example node requires example tree to be used. Every node is a function that manipulates information (and thus can manipulate other nodes). The position in the tree is determine by how often a node is used by others nodes. The more it's used, the "higher" it gets. The structure should be the result auto-organization and not explicit organizing (except if you want to make a "target" model to reach).

Template for a visual version to use as a desktop background

This should be evolved to a structured formalize description. Such a graph or tree could use RDF to facilitate its exploitation (existing tools and processes).

Brain imaging related hardware and software

See the listing of techniques, a short discussion I had with a friend regarding the possibility to use fMRI realistically and finally related Resources to explore.

back

Experiment for simplified automation

  1. Build your personal "clickable" FCT (Fundamental Concept Tree) Fx.
  2. Determine a goal G to reach.
  3. In order to reach G, use a serie (including eventually parallel use) of concepts Cy from Fx.
  4. F(x+1) builds itself with record of your path to reach G and compute statistics of Cy usage.

Repeat the experiment but this time F(x+1) will propose potential Cy thanks to prediction (possibly using Markov chain).

P.S. :

To do

To integrate

References

Inspirations

Namecognitive scaffoldingaffordancerecursive self-improvement
Author(s)A. ClarkJ. Gibsontraditionally Ouroboros
implicitly C. Darwin

End notes

  1. including its own model. (back)

Other tools from my cognitive scaffolding

Fundamental concepts treeRediscovered conceptsNew conceptsSoftware ToolsPersonal Information Stream
Page last modified on July 29, 2009, at 06:46 PM