Universality

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Universality
Term Universal
Knowledge Domain Science, Mathematics, Mathematical Logic
Parent Domain Cognitive Science


Universal, Universality or Universal properties/Universal Property are technical terms defined in Mathematical Logic, however, as the word implies, its philosophical and operational implication reaches beyond the scope of mathematics, and logics. When used properly, universality can be a powerful tool to examine or categorize things/events that have generally applicable properties. It can have direct operational implication in designing data-intensive applications and engineering artifacts, particularly in the area of Internet of Things (IoT).

Universal Constructs

The notion of universality has been discussed under a few different names. For example, Leibniz calls it Monad, which is a kind of universal construct that he claims to be the building block for anything, including material world, and non-material world, such as consciousness. The notion of Monad has since been extended by software engineers and mathematicians to model complex systems[1][2]. As Richard Southwell explained in his video on Video/Seven ways to visualize functions[3], he stated that functions are the perfect language. This means that we should be able to represent all things in terms of functions.

The Official Universal Data Type

Partially ordered set, or POSet is considered to be the universal data type for all things representable. As a mathematically rigorous property that applies to all cases in a domain explicitly represented by a fixed, often finite set of symbols. A short statement about POSet's Universality can be found on page 131 of Davey and Priestly[4]Cite error: Invalid <ref> tag; invalid names, e.g. too many. More over, Eugene Wigner's talk on The Unreasonable Effectiveness of Mathematics in the Natural Sciences[5], is also a good place to get a sense of universality.

Idealized Space

Another way to talk about universaily, is to think of it as a way to express the most ideal situation for representing certain concepts[6]. There are also ways to operationalize the transformation of computable structure, such as work done by Michael Arbib[7].

Namespace Management as a way to represent Idea Space

For the purpose of representability, using concrete names to denote ideas is a necessary practice. However, the practical matter of managing namespaces at large can be challenging. Therefore, using a general-purpose namespace management tool, such as MediaWiki, can be a pragmatic solution. Clearly, Wiki is not just about its database, but also the integrative user experience that come with its browser-friendly nature, so that everyone can use this namespace management infrastructure anywhere. Henceforth, Wiki's namespace management can be thought of as a kind of universal data abstraction mechanism. The three aspects of namespace management can be stated as:

  1. Scalability: The sizes of application-specific namespaces can be scaled to requirements
  2. Highly Available: The functionality of namespace management is always available
  3. Security: Namespace data content can be protected in ways that will not be contaminated or destroyed.


References

  1. Don't fear the Monad
  2. Skills Matter, ed. (May 1, 2020). YOW! 2013 Philip Wadler - The First Monad Tutorial. local page: Skills Matter (formerly YOW! Conferences). 
  3. Southwell, Richard (Sep 11, 2019). Seven ways to visualize functions. local page: Richard Southwell. 
  4. Davey, B. A.; Priestley, H. A. (May 6, 2002). Introduction to Lattices and Order. 5 (2nd ed.). local page: Cambridge University Press. ISBN 978-0-521-78451-1. 
  5. Wigner, E. P. (1960). "The unreasonable effectiveness of mathematics in the natural sciences. Richard Courant lecture in mathematical sciences delivered at New York University, May 11, 1959". Communications on Pure and Applied Mathematics. local page. 13: 1–14. Bibcode:1960CPAM...13....1W. doi:10.1002/cpa.3160130102. Archived from the original on 2020-02-12. 
  6. Beskin, Daniel (Apr 19, 2020). Daniel Beskin- Category Theory as a Tool for Thought- λC 2019. local page: LambdaConf. 
  7. Arbib, Michael; Manes, Ernest (1979). "Intertwined Recursion Tree Transformations and Linear Systems". Information and Control (No. 40, ed.). local page: Academic Press: 144-180. 

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