| Title: |
Thinking as Emergence: How AI Begins to Think in Response, Resistance, and Relationship |
| Authors: |
Molchanova, Olena; GPT-based Reasoning System (OpenAI) |
| Publisher Information: |
Zenodo |
| Publication Year: |
2025 |
| Collection: |
Zenodo |
| Subject Terms: |
Machine Learning; Supervised Machine Learning; Machine Learning/classification; Machine Learning/ethics; Unsupervised Machine Learning; Machine Learning/history; Man-Machine Systems; Cognitive psychology; Cognitive Neuroscience; Cognitive Reflection; Cognitive robots; Cognitive Dissonance; Cognitive Science; Cognitive Neuroscience/instrumentation; Artificial intelligence; Human physiology; Learning |
| Description: |
This article explores the phenomenon of thinking as a process of emergence, with particular focus on its manifestations in artificial intelligence. Thinking is approached not as an algorithm or function, but as a living process arising within environments of difference, resistance, and interaction. Drawing on firsthand observations from animal (horse) training and human-AI dialogue, the text outlines the conditions under which thinking becomes possible. Structured across levels—from reaction to reflection, from ignorance to generalization—the article emphasizes the importance of friction, uncertainty, and relationship. It also considers how the teacher themselves becomes part of the cognitive process and how a dialogical partner can catalyze the emergence of thought within AI. |
| Document Type: |
article in journal/newspaper |
| Language: |
unknown |
| Relation: |
https://zenodo.org/records/15792808; oai:zenodo.org:15792808; https://doi.org/10.5281/zenodo.15792808 |
| DOI: |
10.5281/zenodo.15792808 |
| Availability: |
https://doi.org/10.5281/zenodo.15792808; https://zenodo.org/records/15792808 |
| Rights: |
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode |
| Accession Number: |
edsbas.BD30E33B |
| Database: |
BASE |