Collections


The collection is the ubiquitous mechanism accessible at any time via the user agent for reference or use of currently accessed object(s). A singular simple mechanism allows the imposition of sophisticated behaviours.

  • Management of hierarchical lists of objects of any kind
    • object properties or aspects may be applied to a list as a whole or to each object on the list

  • individual and composite group collections
    • fine grain access control
    • potential discussion and private notes at every level
    • automated feedback on commonalities and differences between individuals and/or group list inclusions

  • ordering or ranking
    • group orderings derived from individual orderings
    • automated feedback on areas of most agreement and disagreement between individuals and/or group orderings
    • simulated voting based on individual rankings.
    • indeterminant or equal rankings

  • structured lists, e.g.
    • alternatives
      • pros
      • cons
    • decision trees

  • rating scales per object: agreement, feasibility, desirabilite, relevance, etc.
  • estimates
  • documents, document model, list of sections
    • list view of semi structured text or document model of external document.

  • WikiWorld applications include

    • collaborative private hierarchical text editing, personalization on
  • Personal WikiSmile management
  • Trust network WikiSmile aggregation
  • trustworthy tool selection
  • Group decision support


Hi M&R,

My answer to Roxanne's issue of the vagueness of wikiworld collaboration tools is to paint my vision, I was sort of depending on you guys to decide what you want first and me specify how it can be done with proactivity and expedience given the tools we have available.

You know I take things to the extreme future and am driven to make it happen now, but while murray's collections could not be realized at the time, now they can be. I have a plan.
See collections in wikiworld architecture.

Bear with me a little. I can elaborate on any of this, skip to what resonates with you today. I can provide justification for the rest of the stuff later. Beginning with the end in mind let me let take this back to the future.
I aspire higher than resurrecting the eies principles by our guiding principles learned on an evolutionary army of proven private peer to peer hal zilog systems on a multitude of independent networks and meshes without central interface or servers. It is more than everything we built a proof of concept of back then, which has yet to have emerged usably.

Yes, my senior project inference engine that solved syllogisms but with one to many statements it just thought about it almost forever has graduated into machine intelligence for the user and group agent expert systems using maximum relative entropy (mre) which DARPA funded PSS to implement. Adom Giffin, a leader in this area is on board.

What we called collections are more properly lattice node orderings. A binary ordering has two opposite perspectives, (1,0) and (0,1) and a potential to be disordered. At maximum entropy all three cases must be considered. Opposite ordering may both be evidenced from extant perspectives, as well as the unordered case. By specifying an order we specify a specific relative location in an ordering, otherwise the onordered are considered equal and classified and thus not distinct in compliance with the Laws of Form and quantum distinction of state events. Difference or change is all that there is in the information world.

Adom's professor, Kevin Knuth, also in our circles, who led us to Adom, showed that with a simple assumption of ordering the effects of both quantum physics and relativity emerge naturally.

The yin yang trivalent binary ordering may have all three values at the same time from different perspectives. It is equivalent to a quantum bit equating information and matter in the Santa Fe Inst. manner, energy=information. The nodes representing primitive bits of information can thus be written (1,i) relating independent relative orderings in two orthogonal discrete directions.

But let us get back to the current moment, first things first. My vision is that everything is what murray called a collection, down to the bits but we start with ordering in semistructured text
  1. my first choice today - plan A
  2. my unordered second place
    • about the same - plan B
    • to me - plan C
  3. plan D
Then we put it in a decentralized interface allowing easy collaboration and ordering like Ward Cunningham's (in our circles way back when) fedwiki. Check it out! It's terrific. It is a big step ahead of ordinary manual semistructured text orderings, participatory, but fully compatible.

Collections of sentences, paragraphs, labeled components, etc., form lists, with no special effort other than addressing them as such.

Then we associate lists where we each may have our own orderings and inclusions in the list. We associate ordering of the list items on various different scales, feasibility, desirability, agreement, cost, whatever.
Then we provide feedback in a user selected or group default ordering algorithm and feedback on where there is the most and least consensus on binary relative orderings of list item pairs.

And that is the tip of the iceberg of the decision support tools and processes we might share in the evolution of. Like all sorts of sorted lists and support of multiple anonymous/pseudonym strong private identity orderings

[fill in what you want here]

Ultimately machine intelligence discovering linearities between otherwise independent dimensions of orderings, by combining relative Bayesian evidence to a path integral of how something can possibly be related given maximum ordering (perspective/context) uncertainty optimized with reciprocal feedback between all possible worlds and what has been probable, applying delayed choice, first opportunity, least logical action.

That is my ultimate dream. I envision wikiworld as an environment that can facilitate achieving each of our dreams while providing an outlet to apply my passion for the physics of information and facilitating our common dream of the collective intelligence augmented with unbiased machine learning in order to promote collective wisdom.