| Title: | The last sanctum of archetypes : rethinking dreams in the light of ancient knowledge and artificial intelligence |
|---|
| Authors: | ID Gutman Mušič, Maja (Author) |
|---|
| Files: |  URL - Source URL, visit https://doi.org/10.35469/poligrafi.2023.411
 PDF - Presentation file, download (313,99 KB)
MD5: 00F08CD9E7C0D952A075ACBE9E5F2B42
|
|---|
| Language: | English |
|---|
| Typology: | 1.01 - Original Scientific Article |
|---|
| Organization: |  ZRS Koper - Science and Research Centre Koper
|
|---|
| Abstract: | Despite numerous attempts to integrate dream research into a vast array of sci-entific disciplines, there appears to be no consensus on why and how we dream. This millennia-old universal human phenomenon appears to be too elusive to be thoroughly understood by a single scientific discipline and too complex and data--rich to be studied only theoretically. However, another dimension to dreams and dreaming could promise an integrative approach: the culture-historical compo-nent that merges with recent advances in artificial Intelligence. This paper briefly examines conceptual understandings of dreams before the dawn of modern science – specifically, the Native american, Mesopotamian, ancient Greek, and Hippocra-tic principles of dream practices and knowledge – in an attempt to understand the contemporary dream research field better and to outline future avenues for a data-driven approach while remaining grounded in its epistemological foundation. |
|---|
| Keywords: | ancient dreaming, archetypes, artificial intelligence, dream data, cross-cultural dream analysis |
|---|
| Publication status: | Published |
|---|
| Publication version: | Version of Record |
|---|
| Publication date: | 20.12.2023 |
|---|
| Year of publishing: | 2023 |
|---|
| Number of pages: | str. 221-239 |
|---|
| Numbering: | Vol. 28, no. 109/110 |
|---|
| PID: | 20.500.12556/DiRROS-18912  |
|---|
| UDC: | 159.963.3:004.946 |
|---|
| ISSN on article: | 1318-8828 |
|---|
| DOI: | 10.35469/poligrafi.2023.411 |
|---|
| COBISS.SI-ID: | 195144963 |
|---|
| Copyright: | The Authors |
|---|
| Publication date in DiRROS: | 13.05.2024 |
|---|
| Views: | 371 |
|---|
| Downloads: | 218 |
|---|
| Metadata: |    |
|---|
|
:
|
Copy citation |
|---|
| | | | Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |
