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About Quasi Artifactual Intelligence: Difference between revisions

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== This is <b><big>about</big></b>  ==
== This is <b><big>about</big></b>  ==
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A man with primitive IT skills is opportunistically tutored advanced computer science skills. This was during the 'dawning' of artificial intelligence deep research &mdash;circa 2000. The tutor retreated into the clandestine world of the intelligence community.
A man with primitive IT skills is opportunistically tutored advanced computer science skills. This was during the 'dawning' of artificial intelligence deep research &mdash;circa 2000. The tutor retreated into the clandestine world of the intelligence community.


Nearly a quarter century later, the dawning computer science of machine intelligence arrived to the general populous.
This man of opportunity finds the narrow skill of clandestine operators useless in the broad world for winning friends and influencing people.


Nearly twenty four trips around the Sun later, the dawning computer science of machine intelligence arrived to the general populus.


Things happen. Visions ignite. An energetic Summer ensued.  And the QAT was ushered into modern light. 
Then one day!


This providential ignition is about extending the concept of the QAT '''human-in-the-loop''' with '''machine-intelligence-in-the-loop''', during categorical analysis creating visual abstraction patterns.  
The old man wanders into a Zoom meeting with Tim Ventura hosting, with a guest speaker Don D. M. Tadaya, CEO of Dascient technology.  
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To paraphrase the Soviet cyber-warfare scientist of the late 90-s "...to find the unknown and unanticipated."
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The CEO of Dascient, a different man of philosophy, advanced training, and connections in a community of computational intelligence, recognizes the older tripper's ancestral commonality.


Things happen. Visions ignite.


<center>Contact [[user:XenoEngineer|XenoEngineer]]</center>
This providential ignition is about extending the concept of the QAT '''human-in-the-loop''' with '''machine-intelligence-in-the-loop''', during categorical analysis creating visual abstraction patterns.


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== The combined mission ==
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We see the mission of Dascient to bring knowledge into the light.
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The redevelopment of 1999 technology, which used a human-in-the-loop, with the support of Dascient, will be re-examined toward redesign of the QAT to rather use a machine intelligence in the loop &mdash;quasi-Artifactual Machine Intelligence &mdash;''perception from the edge.''


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==An overview of the Quasi Axiomatic Theory==
The Quasi Axiomatic Theory (QAT) is a big-data tool developed for analyzing significant events in the expanding world-corpus.


QAT uses category theory to isolate category trends and waves of change in large data samples.
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The paradigm includes categorical abstraction and eventChemistry algorithms for exploring categories and reverse-searching causative determinants.
 
Machine learning can be integrated into the QAT framework to provide a perception of relational dynamics.
 
The architecture of the QAT algorithms involves visual abstraction and mapping cross-category coincidence-frequency dynamics.
 
The QuasiAI system controller is a visual abstraction of multiple synchronous measurements, striated by frequency of simultaneity.
 
The parameters of the system components provide the causal model for training machine intelligence.
 
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Latest revision as of 01:51, 5 April 2024

Grey alien vulcan hand sign.png

This is about

a synchronicity unwinding

A man with primitive IT skills is opportunistically tutored advanced computer science skills. This was during the 'dawning' of artificial intelligence deep research —circa 2000. The tutor retreated into the clandestine world of the intelligence community.

This man of opportunity finds the narrow skill of clandestine operators useless in the broad world for winning friends and influencing people.

Nearly twenty four trips around the Sun later, the dawning computer science of machine intelligence arrived to the general populus.

Then one day!

The old man wanders into a Zoom meeting with Tim Ventura hosting, with a guest speaker Don D. M. Tadaya, CEO of Dascient technology.

The CEO of Dascient, a different man of philosophy, advanced training, and connections in a community of computational intelligence, recognizes the older tripper's ancestral commonality.

Things happen. Visions ignite. 

This providential ignition is about extending the concept of the QAT human-in-the-loop with machine-intelligence-in-the-loop, during categorical analysis creating visual abstraction patterns.

The combined mission

We see the mission of Dascient to bring knowledge into the light.


The redevelopment of 1999 technology, which used a human-in-the-loop, with the support of Dascient, will be re-examined toward redesign of the QAT to rather use a machine intelligence in the loop —quasi-Artifactual Machine Intelligence —perception from the edge.


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