Methodological considerations on chance discovery

Helmut Prendinger, Mitsuru Ishizuka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


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 languageEnglish
Title of host publicationNew Frontiers in Artificial Intelligence - Joint JSAI 2001 Workshop Post-Proceedings
PublisherSpringer Verlag
Number of pages10
ISBN (Print)9783540455486
Publication statusPublished - 2001
Externally publishedYes
Event15th International Workshop on Japanese Society for Artificial Intelligence, JSAI 2001 - Matsue City, Japan
Duration: 2001 May 202001 May 25

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)03029743
ISSN (Electronic)16113349


Other15th International Workshop on Japanese Society for Artificial Intelligence, JSAI 2001
CityMatsue City

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science


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