Experimenting and theorizing in theory formation
ISMIS '86 Proceedings of the ACM SIGART international symposium on Methodologies for intelligent systems
Scientific discovery: computational explorations of the creative process
Scientific discovery: computational explorations of the creative process
Artificial Intelligence
Determining Arguments of Invariant Functional Descriptions
Machine Learning
Discovering admissible models of complex systems based on scale-types and identity constraints
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Discovering Admissible Simultaneous Equation Models from Observed Data
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Toward the Discovery of First Principle Based Scientific Law Equations
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Development of SDS2: Smart Discovery System for Simultaneous Equation Systems
DS '98 Proceedings of the First International Conference on Discovery Science
Computational Revision of Quantitative Scientific Models
DS '01 Proceedings of the 4th International Conference on Discovery Science
Computer Assisted Discovery of First Principle Equations from Numeric Data (Abstract)
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Data mining tasks and methods: Equation fitting: methodology for equation fitting
Handbook of data mining and knowledge discovery
An interactive environment for scientific model construction
Proceedings of the 2nd international conference on Knowledge capture
An interactive environment for the modeling and discovery of scientific knowledge
International Journal of Human-Computer Studies
Communicability Criteria of Law Equations Discovery
Computational Discovery of Scientific Knowledge
Quantitative Revision of Scientific Models
Computational Discovery of Scientific Knowledge
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
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SSF is a system to discover the structure of simultaneous equations governing an objective process through experiments. SSF combined with another system SDS to discover a quantitative formula of a complete equation derives the quantitative model consisting of simultaneous equations reflecting the first principles underlying in the objective process. The power of SSF comes from the use of the complete subset structure in a set of simultaneous equations which can be experimentally identified. The theoretical foundations of the structure identification and the algorithm of SSF are described, and its efficiency and practicality are demonstrated and discussed with large scale working examples. This work is to promote the research of scientific discovery to a novel and promising direction, since the conventional equation discovery systems could not handle such a simultaneous equation process.