- Abstract:
-
There has been much recent success for AI systems undertaking creative tasks in scientific domains such as astronomy, biology, medicine, chemistry, physics and mathematics. In many scientific domains, we can build on the wealth of philosophical and computational studies into creative aspects of human intelligence, and use the abstract nature of the data to derive specialist algorithms for discovery. To achieve high level scientific creativity, the computational techniques employed are often domain specific. However, there are aspects of scientific creativity that can be identified and applied across domains. This note is a survey of current research on creativity in science, and in particular the automation of discovery tasks in science.
- Copyright:
- 2002 by The University of Edinburgh. All Rights Reserved
- Links To Paper
- No links available
- Bibtex format
- @Article{EDI-INF-RR-0260,
- author = {
Simon Colton
and Graham Steel
},
- title = {Artificial Intelligence and Scientific Creativity},
- journal = {Journal of the Society for Artificial Intelligence and the Study of Behaviour},
- year = 1999,
- month = {Aug},
- volume = {102},
- }
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