Mixed Reality / Graph / Hierarchical Idea Network Interface

To build an epistemologically-based open knowledge commons, directed graphs using mixed reality interface is what I have been interested in. I would like to work with others to codevelop Crowdpol so that one of its applications is to be employed in the TIpping Point Festival, and that requires a number of technological innovations. We can pilot an open design knowledge commons here, and the work we do can inform an open knowledge commons for humanity, as well as serve as a cosmolocal function for rapid open design innovation dissemination. Innovation is a process that requires tracking innovators and their ideas. But innovators do not operate in isolation. Idea exchange is vital for innovation and that can occur in many modalities such as reading a research paper, interacting with other researchers, dialogue with people in general in informal and formal settings, web searches, etc. Subsequently, innovation is more accurately a network behavior. Hence crowdpol should have functions to track both people and idea exchange between them simultaneously. Having a framework that does this naturally allows compensation and recognition of precedence of ideas to occur naturally as a system property. If done robustly with blockchains, it can theoretically obsolete patent protection. The network traceablity of the flow and evolution of ideas can provide an unprecedented level of granularity of idea evolution. This property is the basis for my idea for developing an epistemological based system to replace wikipedia, serve as humanity’s open education system for all, as well as a knowledge repository for all scientific research, but that is another project that requires integrating knowledge from biologically inspired neural networks. It could be something we pursue later after successfully piloting the initial system.

Representing ideas in 3D graphs is much more powerful than all the linear, text-based systems in existence today, such as in the current crowdpol platform. Information is very difficult to search for and stored in one fixed linear format. I’ve listed some references for mixed reality force-directed graphs, which would be a much more powerful and intuitive way to store ideas and make them accessible in crowdpol. 

Aliakbar Panahi Big data 3d graph visualization platform for mixed reality (this is a really good paper that gives a nice overview of the power of Mixed reality 3d graphs, especially for representing high dimensionality data sets.

https://core.ac.uk/download/pdf/215482126.pdf

Mixed reality company with their own platform 

https://www.alaira.co.uk/

Creator of the Hover UI Mixed reality kit 

https://medium.com/@zachkinstner/devup-force-directed-graph-in-vr-9e6bf3e1a351

https://medium.com/@zachkinstner

3D force directed graphs

https://github.com/vasturiano/3d-force-graph

(Click on various links to demos on the github page)

Arti Mixed Reality App for easy AR production (not ready yet)

https://www.arti.tv/  

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Group: Building Crowdpol

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Bruce
5 days ago

Very interesting ideas. I appreciate the serious epistemology/semantics. I am interested in connecting a strongly (or “absolutely”) general linear frame with something like this complex/graph based approach, which I am supposing is far better for connecting empirical specifics/actualities. I’ll hang out with this conversation and see what you come up with. I have built many database systems, but always with a boxy row/column approach. Original technical papers on “synthetic dimensionality” at http://originresearch.com. Current exploration for absolute container and general theory of conceptual/semantic form at http://origin.org/ontology/index.cfm — or (a redirect) http://integralontology.net

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