Deduction Theory

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The deduction theory is argued by Kenneth Kijun Lee (1983 ~), a founder of the American company Deduction Theory, LLC[1], and a logician, as "a theory that infers about the relationship of things by information coupling as symmetry and asymmetry”. The deduction theory claim to explore the relationship of things by removing conventional illusions of positivism, materialism, and determinism as an extension of ontology based on absolute existence, finding a better way to overcome it and understand the world better.

His deduction theory differs from the conventional deductive logic, which is the opposite concept of inductive logic which is learned in general philosophy from the history. The past deductive logic method is “to develop the argument based on the absolutism in the sentence structure". But Lee’s deduction theory advocates a method of processing information using relativity of information. The deduction theory is the name made by borrowing the pure meaning of deduce (information processing from inside to out). So Lee's deduction theory also can be called "relativity deduction theory".[2]

History[edit]

  • On September 29, 2012, Kenneth Kijun Lee developed and advocated the deduction theory. The claimed medium was his blog.[3]
  • On January 9, 2017, Kenneth Kijun Lee published an article on philpapers.org, an academic paper repository, explaining deep learning by his deduction theory.[4]
  • In 2017, an article written by Kenneth Kijun Lee in the American Computer Engineering Magazine was introduced.[5] He used his deduction theory while solving the deep learning’s information process.

See also[edit]

deductive logic

determinism

External links[edit]

References[edit]

  1. "Deduction Theory, LLC company information".
  2. Lee, Kenneth. "완전쉬운 딥러닝 2". kr.deductiontheory.com. Retrieved 2017-03-06.
  3. Lee, Kenneth. "이기준의 연역론 연구회가 발족되었음을 선언합니다". 이기준의 연역론 네이버 블로그.
  4. Lee, Kenneth Kijun; Lee, Chase Kihwan. "A Theory Explains Deep Learning". PhilPapers.
  5. "Computer Vision News - March 2017". Retrieved 2017-03-06.


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