Model, glasses and portrait

@ibaibabaibai: “model = approximate how a phenomenon works” http://heartruptcy. blog.fc2.com/blog-entry-150.html … is an idea similar to a sense of physics. I guess it is the “Model = Portrait” theory. Akaike’s view of models is more like “Model = Glasses”. Statistical models are positioned somewhere between these two extremes.

• The intention of “portrait” and “glasses” in Dr. Iba’s statement, “I am a portrait artist,” was discussed within the company, so Nishio explained the sentence.

I thought it was about philosophy epistemology.

• The “model = portrait” theory
  • Assumption that “human reason can recognize phenomena.”
  • The idea that a model is “an approximate representation of the phenomenon.
  • The basic premise of a portrait is that the true face is recognizable and an approximation of it is created.
  • Philosophy: man is able to recognize truth through the use of reason (corroborative explanation)
• The “model = glasses” theory
  • Assumption that “human reason is incapable of recognizing phenomena.”
  • The idea that a model is “a tool to better recognize a phenomenon.
  • Glasses exist as a tool to help us see faces better without them, as we cannot recognize faces without them
    • I didn’t say, “Put on your glasses and you’ll see their true faces.”
  • Philosophy: man cannot recognize truth and can only make imperfect copies (copy theory)

Dr. Akaike: “There is no one and only true structure. We approach the ultimate truth or true structure, which is always in an unknown state, through the search for a better model. The truth we pursue is only relative in the sense that it depends on current knowledge, such that it can be represented by a model that gives one approximation of the subject.”

• https://twitter.com/tkdmah/status/29237875870535682

In the latter half of the 20th century, as real-world problems became increasingly complex and diverse, the traditional framework of statistical inference, which assumes the existence of a “true model,” gradually became inappropriate for reality. In 1973, Akaike proposed the Akaike Information Criterion (AIC), a criterion for obtaining a model that gives the best predictive value for a given situation of predicting future data, leaving a great mark in the history of statistics.

• http://cpis.soken.ac.jp/project/publication/journal/no.12/doc/02-05.pdf

In the history of philosophy, Dr. Akaike may be positioned as advancing statistics from the standpoint of the copycat theory that humans cannot know the “True Model”.

Related: All models are wrong….

2017-06-09 2022-05-20 Slightly improved text.

relevance - Graphs are tools - Tools to see the truth and tools to get the message across.

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