Abstract
A “chance” is an event or a situation significant for making a decision in a complex environment. Since we organized a session of Chance Discovery in KES 2000, the basic theories attracted the interdisciplinary community of researchers from philosophy, sociology, artificial intelligence, finance, complex systems, medical science, etc. Even stronger reactions from companies lead to organizing the Chance Discovery Consortium in Japan, achieving big fruits of business.
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References
Ohsawa, Y., McBurney, P. (eds.): Chance Discovery – Advanced Information Processing Series. Springer, Heidelberg (2003)
Ohsawa, Y.: KeyGraph as Risk Explorer from Earthquake Sequence. J. of Contingencies and Crisis Management 10(3), 119–128 (2002)
Ohsawa, Y., Fukuda, H.: Chance Discovery by Stimulated Group of People - An Application to Understanding Rare Consumption of Food. J. of Contingencies and Crisis Management 10(3), 129–138 (2002)
Ohsawa, Y.: Chance Discoveries for Making Decisions in Complex Real World. J. New Generation Computing 20(2), 143–163 (2002)
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© 2004 Springer-Verlag Berlin Heidelberg
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Ohsawa, Y. (2004). Chance Discovery with Emergence of Future Scenarios. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_4
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DOI: https://doi.org/10.1007/978-3-540-30132-5_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23318-3
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