Computational Discovery of Scientific Knowledge Introduction, Techniques, and Applications in Environmental and Life Sciences
Advances in technology have enabled the collection of data from scientific observations, simulations, and experiments at an ever-increasing pace. For the scientist and engineer to benefit from these enhanced data collecting capabilities, it is becoming clear that semi-automated data analysis techniq...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2007, 2007
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| Edition: | 1st ed. 2007 |
| Series: | Lecture Notes in Artificial Intelligence
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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