| _version_ | 1866901983925895168 |
|---|---|
| author | Minamikata, Juza |
| author_facet | Minamikata, Juza |
| contents | <p>Recent developments in machine learning, information theory, and large-scale data processing have intensified the role of information as a central concept across scientific and technological systems.</p> <p> </p> <p>Information is commonly understood as content, message, or semantic structure that can be transmitted, encoded, and interpreted. This paper revisits these assumptions from a non-modal perspective.</p> <p> </p> <p>Within this framework, information is not treated as meaning or content. Instead, it is fixed as configuration fixation.</p> <p> </p> <p>Without introducing causality, temporality, or subject-dependent interpretation, information is considered without transmission, encoding, or semantic content. This reframing calls into question the conventional understanding of information in data-driven systems.</p> <p> </p> <p>This work forms part of a broader non-modal structural framework in which core scientific concepts are examined without reliance on relation, representation, or explanatory structure.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19947776 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Reconsidering Information in Data-Driven Systems: A Non-Modal Refixation of Configuration Minamikata, Juza non-modal structural system configuration fixation information theory data-driven systems non-semantic information machine learning theory <p>Recent developments in machine learning, information theory, and large-scale data processing have intensified the role of information as a central concept across scientific and technological systems.</p> <p> </p> <p>Information is commonly understood as content, message, or semantic structure that can be transmitted, encoded, and interpreted. This paper revisits these assumptions from a non-modal perspective.</p> <p> </p> <p>Within this framework, information is not treated as meaning or content. Instead, it is fixed as configuration fixation.</p> <p> </p> <p>Without introducing causality, temporality, or subject-dependent interpretation, information is considered without transmission, encoding, or semantic content. This reframing calls into question the conventional understanding of information in data-driven systems.</p> <p> </p> <p>This work forms part of a broader non-modal structural framework in which core scientific concepts are examined without reliance on relation, representation, or explanatory structure.</p> |
| title | Reconsidering Information in Data-Driven Systems: A Non-Modal Refixation of Configuration |
| topic | non-modal structural system configuration fixation information theory data-driven systems non-semantic information machine learning theory |
| url | https://doi.org/10.5281/zenodo.19947776 |