Difference between revisions of "Meta University/Goal"

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# Establish a [[Soundness|sound]] [[cognitive foundation]] grounded on [[data]]: Data Structures and Algorithms to process the data.
# Establish a [[Soundness|sound]] [[cognitive foundation]] grounded on [[data]]: Data Structures and Algorithms to process the data.
# Support decisions with [[effective methods]]: Teach [[computational thinking]] to improve upon mental models and the awareness and skills to use computing tools.
# Support decisions with [[effective methods]]: Teach [[computational thinking]] to improve upon mental models and the awareness and skills to use computing tools.
# Improve upon the [[system of knowledge]]: Publish knowledge content and create data manipulation methods and tools to attenuate unnecessary [[information asymmetry]].
# Improve upon the [[system of knowledge]]: [[Publish knowledge content]] and create data manipulation methods and tools to attenuate unnecessary [[information asymmetry]].
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All the above three goals should be unified with an extensible knowledge representation, retainment, and revisioning mechanism without loss of [[universality]].  
All the above three goals should be unified with an extensible knowledge representation, retainment, and revisioning mechanism without loss of [[universality]].  

Revision as of 01:30, 12 February 2022

The goal of MU is to enable all learnable organizations to become self-aware through the following tri-fold knowledge organization framework:

  1. Establish a sound cognitive foundation grounded on data: Data Structures and Algorithms to process the data.
  2. Support decisions with effective methods: Teach computational thinking to improve upon mental models and the awareness and skills to use computing tools.
  3. Improve upon the system of knowledge: Publish knowledge content and create data manipulation methods and tools to attenuate unnecessary information asymmetry.

All the above three goals should be unified with an extensible knowledge representation, retainment, and revisioning mechanism without loss of universality.

This requirement mandates the generalized knowledge container to have an extremely simple structure, as simple as a causally related data representation, called function. In other words, the goal of MU is to organize all content knowledge using an abstract model that represent knowledge as a generic function that could be composed of other functions recursively.

References