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 |
Fingerprint
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
Methodological considerations on chance discovery. / Prendinger, Helmut; Ishizuka, Mitsuru.
New Frontiers in Artificial Intelligence - Joint JSAI 2001 Workshop Post-Proceedings. Vol. 2253 Springer Verlag, 2001. p. 425-434 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2253).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Methodological considerations on chance discovery
AU - Prendinger, Helmut
AU - Ishizuka, Mitsuru
PY - 2001
Y1 - 2001
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=84974718019&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84974718019
SN - 9783540455486
VL - 2253
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 425
EP - 434
BT - New Frontiers in Artificial Intelligence - Joint JSAI 2001 Workshop Post-Proceedings
PB - Springer Verlag
ER -