Modelling serendipity in a computational context

نویسندگان

  • Joseph Corneli
  • Alison Pease
  • Simon Colton
  • Anna Jordanous
  • Christian Guckelsberger
چکیده

Drawing on well-known examples of serendipity in scientific discovery, we develop a set of criteria that can be applied to model and evaluate serendipity in computational settings. We use design patterns, and the growth of a pattern language, as a way to describe the processes of discovery and invention that comprise serendipitous encounters. We show how several earlier patterns of serendipity can be applied in a Writers Workshop for computational systems, and include related recommendations for practitioners.

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عنوان ژورنال:
  • CoRR

دوره abs/1411.0440  شماره 

صفحات  -

تاریخ انتشار 2014