Abstract
This paper investigates the methodological foundations of a new research field called chance discovery, which aims to detect future opportunities and risks. By drawing on concepts from cybernetics and system theory, it is argued that chance discovery best applies to open systems that are equipped with regulatory and anticipatory mechanisms. Non-determinism, freedom (entropy) and open systems property are motivated as basic assumptions underlying chance discovery. The prediction-explanation asymmetry and evaluation of chance discovery models are discussed a fundamental problems of this field.
| Original language | English |
|---|---|
| Title of host publication | New Frontiers in Artificial Intelligence - Joint JSAI 2001 Workshop Post-Proceedings |
| Publisher | Springer Verlag |
| Pages | 425-434 |
| Number of pages | 10 |
| Volume | 2253 |
| ISBN (Print) | 9783540455486 |
| Publication status | Published - 2001 |
| Externally published | Yes |
| Event | 15th International Workshop on Japanese Society for Artificial Intelligence, JSAI 2001 - Matsue City, Japan Duration: 2001 May 20 → 2001 May 25 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 2253 |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 15th International Workshop on Japanese Society for Artificial Intelligence, JSAI 2001 |
|---|---|
| Country | Japan |
| City | Matsue City |
| Period | 01/5/20 → 01/5/25 |
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
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Cite this
Prendinger, H., & Ishizuka, M. (2001). Methodological considerations on chance discovery. In New Frontiers in Artificial Intelligence - Joint JSAI 2001 Workshop Post-Proceedings (Vol. 2253, pp. 425-434). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2253). Springer Verlag.