CALL FOR PAPERS
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AISB'99 Symposium On AI and Scientific Creativity
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8th and 9th of April 1999
Division of Informatics, University of Edinburgh
and Edinburgh College of Art
http://www.dai.ed.ac.uk/~simonco/conferences/AISB99/
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(Apologies if you get this more than once via mailing lists)
PROGRAMME CHAIR
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Simon Colton (simonco@dai.ed.ac.uk)
School of Artificial Intelligence,
University of Edinburgh,
80 South Bridge, Edinburgh.
EH1 1HN. Scotland.
PROGRAMME COMMITTEE
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Dr. Vincent Corruble, Department of Computing Science,
University of Aberdeen, Scotland.
Prof. Stephen Muggleton, Department of Computer Science,
University of York, England.
Prof. Thomas Nickles, Department of Philosophy,
University of Nevada, Reno, USA.
Prof. Derek Sleeman, Department of Computing Science,
University of Aberdeen, Scotland.
Dr. Raul Valdes-Perez, Department of Computer Science,
Carnegie Mellon University, USA.
Prof. Jan Zytkow, Department of Computer Science,
University of North Carolina at
Charlotte, USA.
MOTIVATION
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There has been much recent success for AI systems
undertaking creative tasks in scientific domains such as
astronomy, biology, medicine, the physical sciences 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 background
knowledge and computational techniques employed are usually
very domain specific. However, there are aspects of
scientific creativity that can be identified and applied
across domains. The process of developing the core notions
of machine discovery in science is underway, as emphasised
by, among others, the 1995 AAAI Spring Symposium dedicated
to scientific discovery, the machine discovery sessions at
ICDC'98, the 1998 ECAI Machine Discovery Workshop and the
recent special issue of the AI Journal dedicated on
scientific discovery.
We wish continue this process with the AISB symposium on AI
and Scientific Creativity. To do this, we need to understand
both the theoretical possibilities for creativity and the
systems implemented to achieve machine creativity in
science. Therefore we wish to attract contributions
describing:
- Philosophical or computational models of scientific
creativity, case studies and computational simulations,
or
- Systems used to automate aspects of scientific creativity
and/or reports of new findings resulting from their use.
We hope that contributors proposing models of scientific
creativity will learn from the successes and techniques
employed in working systems, and contributors describing
implementations will learn of the frameworks available to
them for modelling creativity in science.
AISB'99 offers a unique opportunity to compare aspects of
scientific creativity with creativity from other
domains. The other symposia at the convention include: AI
and Musical Creativity, AI and Visual Creativity, AI and
Creative Language, AI and Creativity in Entertainment and AI
and Creative Evolutionary Computation.
CALL FOR PAPERS
---------------
The following are some areas of research from which we would
like to attract contributions. This is not an exclusive
list, and submissions concerning any aspect of scientific
creativity are encouraged.
* Machine Discovery Systems for Scientific Domains
- Descriptions of implementations
- New findings resulting from the
use of machine discovery systems
- The application of machine discovery
systems to industrial problems
* Philosophical and Psychological Issues
- Descriptions of paradigms for scientific creativity
- Historical and cognitive case studies
- The pros and cons of computational
approaches to scientific creativity
* Computational Frameworks for Scientific Discovery
- Descriptions of computational models for machine
discovery. For example, inductive logic programming,
grammatical approaches, matrix spaces approaches.
- Application of data mining techniques
to scientific domains
* Deriving Generality
- Comparisons of approaches to machine discovery
- Comparisons of systems for machine discovery
- Prospects for deriving generality in automated
scientific creativity
SUBMISSIONS
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We're looking for an extended abstract, up to #four# pages
in length. The following formats are acceptable:
Paper: a4 single sided
email: ASCII, HTML
email attachments: Postscript, Word6
Please put the title of your abstract, your name and
affiliation on a separate sheet, not on the extended
abstract itself.
Please submit your abstracts on or before 21st December
1998. Please post or email submissions to the programme
chair (address given above).
TIMETABLE
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Submission of extended abstract: 21st December 1998
Notification about extended abstract: 20th January 1999
Submission of camera ready copy: 12th March 1999
Convention Dates: 6th-9th April 1999
AI and Scientific Creativity Symposium: 8th-9th April 1999
CONTACTS
--------
If you have any questions about the symposium on AI and
Scientific Creativity, please contact the programme chair,
either at the address given above, or by email:
simonco@dai.ed.ac.uk
If you have any questions about the AISB convention, please
contact one of the local organisers:
Geraint Wiggins: geraint@dai.ed.ac.uk
Andrew Patrizio: a.patrizio@eca.ac.uk
The web page for the Symposium on AI and Scientific
creativity is here:
http://www.dai.ed.ac.uk/~simonco/conferences/AISB99/
The web page for the AISB'99 convention is here:
http://www.dai.ed.ac.uk/~geraint/aisb99/
The web page for AISB is here:
http://www.cogs.susx.ac.uk/aisb/