Thinking as Emergence: How AI Begins to Think in Response, Resistance, and Relationship
Fuente:
Zenodo
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Recurso digital |
| Veröffentlicht: |
Zenodo
2025
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866901681595219968 |
|---|---|
| author | Molchanova, Olena GPT-based Reasoning System (OpenAI) |
| author_facet | Molchanova, Olena GPT-based Reasoning System (OpenAI) |
| contents | <p>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.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15792808 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Thinking as Emergence: How AI Begins to Think in Response, Resistance, and Relationship Molchanova, Olena GPT-based Reasoning System (OpenAI) 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 <p>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.</p> |
| title | Thinking as Emergence: How AI Begins to Think in Response, Resistance, and Relationship |
| topic | 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 |
| url | https://doi.org/10.5281/zenodo.15792808 |