Learning to sense selectively in physical domains
AGENTS '97 Proceedings of the first international conference on Autonomous agents
An integrated system for multi-rover scientific exploration
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Multi Level Knowledge in Modeling Qualitative PhysicsLearning
Machine Learning - Special issue on multistrategy learning
Mining for Attribute Definitions in a DistributedTwo-Layered DB System
Journal of Intelligent Information Systems - Special issue on methodologies for intelligent information systems
Discovery of Equations and the Shared Operational Semantics in Distributed Autonomous Databases
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
The Computational Support of Scientific Discovery
Machine Learning and Its Applications, Advanced Lectures
Automated Discovery: A Fusion of Multidisciplinary Principles
AI '00 Proceedings of the 13th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
The Computer-Aided Discovery of Scientific Knowledge
DS '98 Proceedings of the First International Conference on Discovery Science
The Melting Pot of Automated Discovery: Principles for a New Science
DS '99 Proceedings of the Second International Conference on Discovery Science
Discovery of a Set of Nominally Conditioned Polynomials
DS '99 Proceedings of the Second International Conference on Discovery Science
An Integrated Framework for Extended Discovery in Particle Physics
DS '01 Proceedings of the 4th International Conference on Discovery Science
Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
Data mining tasks and methods: Equation fitting: equation finders
Handbook of data mining and knowledge discovery
Automated scientific discovery
Handbook of data mining and knowledge discovery
A knowledge-based system approach for scientific data analysis and the notion of metadata
MSS '95 Proceedings of the 14th IEEE Symposium on Mass Storage Systems
Discovering interesting holes in data
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Qualitative system identification from imperfect data
Journal of Artificial Intelligence Research
Automated Discovery Of Empirical Laws
Fundamenta Informaticae
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In this article we present a framework that integrates three aspects of empirical discovery—the formation of taxonomies, the generation of qualitative laws, and the detection of numeric relations. We specify a control structure that integrates these component processes, embedding qualitative discovery within taxonomy formation, and embedding numeric discovery within both of these activities. We also describe the framework's basic representation and organization of knowledge, which combines elements from recent work in machine discovery and qualitative physics. In addition, we describe IDS, a running system that instantiates this framework, and report its behavior on problems from the history of science. Finally, we discuss some limitations of the system as revealed by experimental studies, and propose some directions for future research.