Technology as the Embodiment of the Personalized Essence of Nature and Its Evolution in Learning Machines

This article examines the philosophy of technology through the lens of the principle of personalization. It explores the terminology of technology, tracing its linguistic origins and the evolution of its concept from the classical era to modern and contemporary contexts. According to the principle of personalization, technology does not replicate the structure of nature but rather embodies its personalization. Consequently, technology does not carry the essence of nature itself but retains residual traces from the process of personalization. Within this perspective, learning machines are not designed based on the essence of human understanding, but on the personalization of its structure. Furthermore, the principle of personalization can be adapted into algorithms for programming learning machines. Ultimately, this article seeks to address the epistemological challenges posed by technological advancement, particularly in the development of learning machines, and offers a viable solution.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-01
DOI
https://doi.org/10.5281/zenodo.15151709
Primary Topic
Digital Education and Society
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Technology as the Embodiment of the Personalized Essence of Nature and Its Evolution in Learning Machines

Zenodo (CERN European Organization for Nuclear Research)
Digital Education and Society
article

Technology as the Embodiment of the Personalized Essence of Nature and Its Evolution in Learning Machines

article en

Abstract

This article examines the philosophy of technology through the lens of the principle of personalization. It explores the terminology of technology, tracing its linguistic origins and the evolution of its concept from the classical era to modern and contemporary contexts. According to the principle of personalization, technology does not replicate the structure of nature but rather embodies its personalization. Consequently, technology does not carry the essence of nature itself but retains residual traces from the process of personalization. Within this perspective, learning machines are not designed based on the essence of human understanding, but on the personalization of its structure. Furthermore, the principle of personalization can be adapted into algorithms for programming learning machines. Ultimately, this article seeks to address the epistemological challenges posed by technological advancement, particularly in the development of learning machines, and offers a viable solution.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 40%
Digital Education and Society
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.