[x3d-public] Defining fitness, viewability or playability for a virtual world

[Brutzman, Donald (Don) (CIV)]

Hi John - not familiar with your reference.  Please provide further information, TIA.

p.s. a neural network is a simply a multi-parameter filter.  the conceptual mapping of inputs to outputs is the important part.  so understanding your concept here is the important thing.

On 10/1/2018 9:42 AM, John Carlson wrote:
> BTW, I believe Christopher’s approach is to design with the 15 properties in mind.  So an approach to render an appropriate scene would be welcome.
> 
> John
> 
> Sent from Mail <https://go.microsoft.com/fwlink/?LinkId=550986> for Windows 10
> 
> *From: *John Carlson <mailto:yottzumm at gmail.com>
> *Sent: *Monday, October 1, 2018 12:40 PM
> *To: *X3D Graphics public mailing list <mailto:x3d-public at web3d.org>
> *Subject: *Defining fitness, viewability or playability for a virtual world
> 
> How might one define or analyze fitness, viewability or playability for a X3D world or scenegraph?  Has anyone done research on this? I’m about to start a genetic, stochastic or chaotic way of generating scene graphs, and it seems like I need to do some kind of evolutionary approach, combined with a fitness approach. The main fitness tests being first of all, a Schema and Schematron validation, and secondly the ability to load in several browsers successfully.
> 
> But I desire a better fitness, perhaps using Alexander’s 15 properties.   But I don’t know how to test a scene against alexander’s properties except by eyeballing it.
> 
> Is there a neural network designed to find the 15 properties in a scene?
> 
> John


all the best, Don
-- 
Don Brutzman  Naval Postgraduate School, Code USW/Br       brutzman at nps.edu
Watkins 270,  MOVES Institute, Monterey CA 93943-5000 USA   +1.831.656.2149
X3D graphics, virtual worlds, navy robotics http://faculty.nps.edu/brutzman