Towards an integrated discovery system

Authors:
Bernd Nordhausen;Pat Langley
Affiliations:
Irvine Computational Intelligence Project, Department of Information & Computer Science, University of California, Irvine, CA;Irvine Computational Intelligence Project, Department of Information & Computer Science, University of California, Irvine, CA
Venue:
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
Year:
1987

Citing 2
Cited 1

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Abstract

Previous research on machine discovery has focused on limited parts of the empirical discovery task. In this paper we describe IDS, an integrated system that addresses both qualitative and quantitative discovery. The program represents its knowledge in terms of qualitative schema, which it discovers by interacting with a simulated physical environment. Once IDS has formulated a qualitative schema, it uses that schema to design experiments and to constrain the search for quantitative laws. We have carried out preliminary tests in the domain of heat phenomena. In this context the system has discovered both intrinsic properties, such as the melting point of substances, and numeric laws, such as the conservation of mass for objects going through a phase change.