Scientific discovery: computational explorations of the creative process
Scientific discovery: computational explorations of the creative process
Integration of knowledge and method in real-world discovery
ACM SIGART Bulletin
Discovering admissible simultaneous equations of large scale systems
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
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
Data mining tasks and methods: Equation fitting: methodology for equation fitting
Handbook of data mining and knowledge discovery
Communicability Criteria of Law Equations Discovery
Computational Discovery of Scientific Knowledge
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
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Automated discovery in a chemistry laboratory
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
DS'10 Proceedings of the 13th international conference on Discovery science
SCALETRACK: a system to discover dynamic law equations containing hidden states and chaos
DS'05 Proceedings of the 8th international conference on Discovery Science
Automated Discovery Of Empirical Laws
Fundamenta Informaticae
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The BACON system, developed by Langley, Simon and Bradshaw, has shown the utility of a data driven discovery system. A new system, called FAHRENHEIT, has been built which extends BACON, making it more robust and allowing it perform a wider range of discovery activity. The new system extends BACON in several ways: 1) It determines the scope of a law by making simulated experiments, and by searching for regularities that describe the scope boundaries. 2) The world model in which the experiments are performed is more sophisticated. 3) The order in which the data are considered is placed under the control of FAHRENHEIT so that the system continues the discovery process even if no regularity is found for a particular variable.