Difference between revisions of "Meta University/Goal"

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The goal of MU is to provide the following tri-fold knowledge organization framework:
The goal of MU is to provide the following tri-fold knowledge organization framework:
# Establish a [[Soundness|sound]] Cognitive Foundation gounded 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 [[effective]] Decisions with [[Computational Thinking]]: Making sense of data with the help of mental models and computing tools.
# Support decisions with [[effective methods]]: Making sense of data with the help of mental models and computing tools.
# [[Refine existing knowledge]] and [[produce new knowledge]]: Evangelize knowledge and data manipulation methods and tools to attenuate unnecessary [[information asymmetry]].
# [[Refine existing knowledge]] and [[produce new knowledge]]: Evangelize knowledge and data manipulation methods and tools to attenuate unnecessary [[information asymmetry]].



Revision as of 03:06, 10 February 2022

The goal of MU is to provide 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: Making sense of data with the help of mental models and computing tools.
  3. Refine existing knowledge and produce new knowledge: Evangelize knowledge and 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