[x3d-public] Declarative Bayesian approach to X3D (currently using random numbergenerator in JavaScript) in X3DOM and X_ITE.

[GPU Group]

a few x3d browsers have the ParticlePhysics component.
x but the specs don't have an [out] field for any randomly generated
coordinates
- (the particlephysics node just does all the emitting on the screen
without notifying scene author / scene of where its putting them)
Might be handy to have some random generator nodes, although I suspect
javascript has a rand(), so could do proto?
Another idea is to have a MATLAB or equivalent (Gnu Octave?) Component -or
javascript interface?- and get lots of juicy math stuff from that,
-Doug Sanden

On Fri, Feb 8, 2019 at 10:01 AM John Carlson <yottzumm at gmail.com> wrote:

> I am not sure or not, but I think Tim Berners-Lee may have said the
> semantic web does not include probabilities.   Do I need to create my own
> “relationships between nodes” and “relationships between nodes and
> attributes” in order to add probabilities? Go ahead and use XMLBIF?
>
>
>
> Sent from Mail <https://go.microsoft.com/fwlink/?LinkId=550986> for
> Windows 10
>
>
>
> *From: *John Carlson <yottzumm at gmail.com>
> *Sent: *Friday, February 8, 2019 10:39 AM
> *To: *X3D Graphics public mailing list <x3d-public at web3d.org>; Don
> Brutzman <brutzman at nps.edu>; Leslie Sikos <leslie at lesliesikos.com>
> *Subject: *Declarative Bayesian approach to X3D (currently using random
> numbergenerator in JavaScript) in X3DOM and X_ITE.
>
>
>
> My understanding of Bayes systems is they make use of a network of
> conditional probabilities.  The ideas below refer to a Bayesian approach to
> “novel” or test data XML generation from the root of the document
> hierarchically out to the leaves with probabilities for nodes,
> relationships and attributes appearing in an ontology, because I have no
> other current place to put it. Other suggestions are welcome.   Thus I am
> making advance to the Ontology working group to provide for probabilities
> in the OWL/RDF.  There may be a better place for the probabilities
> (discuss), see Emitter nodes.  Also see:
> https://www.quora.com/Theoretical-Physics-Is-probability-epistemological-or-ontological
>
>
>
> So I am looking for elements (in any XML language, but preferably X3D)
> which apply Bayesian approaches.
>
> For example, I might use Bayesian methods on pixels to create movies,
> textures, sounds and volume rendering.
>
> I might use Bayesian methods on text (natural language generation) to
> create speech, rendered text, comments, and identifiers
>
> I might use Bayesian methods on sound encoded with vectors, vectors,
> surfaces, volumes (motion capture) and to animate those things (and higher
> dimensions).  See my flowers, force.
>
> I might use Bayesian methods to apply a small amount of variation to an
> HAnim skeleton animation.
>
> I might use Bayesian methods as described in the paragraph above.
>
> Bayesian parameters could be applied directly to ROUTEs for example, and I
> think is appropriate there, such that events fire based on a random
> variation, and is the proportion of the total number of times the ROUTE
> should fire in normal X3D.
>
>
>
> I see the Emitters (Particle Systems) have variation. How can I apply that
> to non-Cartesian coordinate systems, and how do I feed that into a dynamic
> sound? I will do some research. Are Emitters present in current browsers?
> Thanks!
>
>
>
> Should I form a small working group on to create a wiki page to document
> the Declarative Bayesian methods and X3D?  Or have we been there, done that?
>
>
>
> I discovered this:
> http://www.cs.cmu.edu/afs/cs/user/fgcozman/www/Research/InterchangeFormat/
> (version 0.3) How do I go about integrating X3D with XMLBIF?
>
> Also, if anyone has any other primitive visual, sound and other senses
> (tactile/haptic) data format other than pixels, vectors and text, let me
> know.
>
>
>
> How might the Bayesian working group interact with the Ontology working
> group. Can the Ontology group provides us with the needed parameters,
> priors and probabilities? One of the objectives of the Semantic working
> group is: automatic generating of X3D documents based on ontologies and
> vice versa, http://www.web3d.org/working-groups/x3d-semantic-web/charter
> Are these OWL/RDF documents, X3D XML documents?   Are we attempting to
> generate novel documents, or a mapping (then use “mapping”).  If we are
> creating novel documents, may I suggest that Bayesian techniques might be
> used?   What other techniques for creating document.
>
>
>
> How can we collect data for a Bayesian generated document?  Use various
> mapping databases?   Google Earth? OGC?
>
>
>
> So you can think of Bayesian methods as a Bayesian network tied in space
> to data.  Bayes methods can be thought of as N-dimensional
>
> .
>
> The intention is to provide **pleasant** not necessarily **realistic**
> visuals, something like white noise could be pleasant, for example for
> generating audio (a stream of water).
>
>
>
> The intent is to animate the scene in real-time, rather than providing
> fixed animation, images, text, drawings and sounds.
>
>
>
> Other ideas for Bayesian, Brownian and Chaotic methods are welcome.
>
>
>
>
>
> Thanks,
>
>
>
> John
>
>
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