J. Zytkow. Model construction: Elements of a computational mechanism. In AISB'99 Symposium on AI and Scientific Creativity, pages 65--71, Edinburgh, Scotland, April 1999. 12

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Artificial Intelligence and Scientific Creativity - Colton, Steel (1999)   (Correct)

....their system will control experiments and construct and evaluate hypotheses while working on projects such as the human genome project. Jan Zytkow of the Department of Computer Science, University of North Carolina at Charlotte, has been researching closed loop methods in scientific modelling, [41]. Model construction is a complex and important scientific activity, distinct from, but easily confused with, theory formation. Zytkow clarified this distinction at the AISB Symposium: a theory is a result of analysis, and describes a simple element of nature, such as gravity or electromagnetism. ....

....in mathematics, 9] 15] 3. Spotting examples of a phenomenon, as happened recently with the successful automated identification of distant quasars in astronomy, 21] 4. Designing experiments to test hypotheses and performing closed loop discovery to illustrate the progress of a theory, 6] [41]. 5. Making explicit unquestioned assumptions in a domain, such as those identified about leukemia, 12] There is much real potential for automated discovery programs to produce findings which have a great impact on science. More and more programs are being written to act in creative ....

J. Zytkow. Model construction: Elements of a computational mechanism. In AISB'99 Symposium on AI and Scientific Creativity, pages 65--71, Edinburgh, Scotland, April 1999. 12

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