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Modeling the Process of Chance Discovery

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Chance Discovery

Part of the book series: Advanced Information Processing ((AIP))

Summary

The fundamental philosophy of chance discovery is introduced. By comparison with the cyclic model of knowledge discovery, this chapter describes the essentials for realizing chance discovery. From these discussions, three keys for chance discovery are proposed, i.e. communication, context shifting, and data mining. As a result, the double helix and the subsumption architecture are presented as methods for realizing chance discovery.

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© 2003 Springer-Verlag Berlin Heidelberg

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Ohsawa, Y. (2003). Modeling the Process of Chance Discovery. In: Ohsawa, Y., McBurney, P. (eds) Chance Discovery. Advanced Information Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-06230-2_1

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  • DOI: https://doi.org/10.1007/978-3-662-06230-2_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05609-3

  • Online ISBN: 978-3-662-06230-2

  • eBook Packages: Springer Book Archive

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