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Scientific Discovery: Computational Explorations of the Creative Processes
TLDR
Scientific discovery is often regarded as romantic and creative -- and hence unanalyzable -- whereas the everyday process of verifying discoveries is sober and more suited to analysis. Expand
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The Search for Regularity: Four Aspects of Scientific Discovery
TLDR
We construct four artificial intelligence systems that address different facets of this process. Expand
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Automated Discovery in a Chemistry Laboratory
TLDR
We describe an application of the discovery system FAHRENHEIT in a chemistry laboratory in which the system has developed empirical equations (quantitative regularities) equivalent to those developed by an analytical chemist working on the same problem. Expand
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Data-Driven Approaches to Empirical Discovery
TLDR
Four machine discovery systems that share a number of features: the use of data-driven heuristics to constrain the search for numeric laws; a reliance on theoretical terms; and the recursive application of a few general discovery methods. Expand
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Experimenting and theorizing in theory formation
TLDR
The BACON system, developed by Langley, Simon and Bradshaw, has shown the utility of a data driven discovery system. Expand
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Handbook of data mining and knowledge discovery
Part A: Data mining and knowledge discovery Part B: Fundamental Concepts Part C: The process of knowledge discovery in databases Part D: Discovery Systems Part E: Interdisciplinary links of KDD PartExpand
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Combining many searches in the FAHRENHEIT discovery system
TLDR
This paper discusses a version of FAHRENHEIT which uses search templates to represent a number of different searches in a homogeneous way and a search interpreter to run the system. Expand
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Unified algorithm for undirected discovery of exception rules
TLDR
In this paper, we formalized discovery of interesting exception rules as rule-triplet discovery, and categorized rule triplets with three literals into eleven types. Expand
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Scientific Model-Building as Search in Matrix Spaces
TLDR
We show that the search spaces underlying many well-known systems are remarkably similar when re-interpreted as search in matrix spaces. Expand
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