Computational discovery of scientific knowledge : introduction, techniques, and applications in environmental and life sciences
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Bibliographic Information
Computational discovery of scientific knowledge : introduction, techniques, and applications in environmental and life sciences
（Lecture notes in computer science, 4660 . Lecture notes in artificial intelligence）
Springer, c2007
Available at 4 libraries
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"State-of-the-art survey"--Cover
Description and Table of Contents
Description
This survey provides an introduction to computational approaches to the discovery of communicable scientific knowledge and details recent advances. It is partly inspired by the contributions of the International Symposium on Computational Discovery of Communicable Knowledge, held in Stanford, CA, USA in March 2001, a number of additional invited contributions provide coverage of recent research in computational discovery.
Table of Contents
Computational Discovery of Scientific Knowledge.- Computational Discovery of Scientific Knowledge.- I Equation Discovery and Dynamic Systems Identification.- Communicable Knowledge in Automated System Identification.- Incorporating Engineering Formalisms into Automated Model Builders.- Integrating Domain Knowledge in Equation Discovery.- Communicability Criteria of Law Equations Discovery.- Quantitative Revision of Scientific Models.- Discovering Communicable Models from Earth Science Data.- Structure Discovery from Massive Spatial Data Sets Using Intelligent Simulation Tools.- Computational Discovery in Pure Mathematics.- II Computational Scientific Discovery in Biomedicine.- Automatic Computational Discovery of Chemical Reaction Networks Using Genetic Programming.- Discovery of Genetic Networks Through Abduction and Qualitative Simulation.- Learning Qualitative Models of Physical and Biological Systems.- Logic and the Automatic Acquisition of Scientific Knowledge: An Application to Functional Genomics.- Drug Discovery as an Example of Literature-Based Discovery.- Literature Based Discovery Support System and Its Application to Disease Gene Identification.
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