License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.07081.8
URN: urn:nbn:de:0030-drops-10774
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2007/1077/
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Begel, Andrew

End User Programming for Scientists: Modeling Complex Systems

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07081.BegelAndrew.Paper.1077.pdf (0.2 MB)


Abstract

Towards the end of the 20th century, a paradigm shift took place in many scientific labs. Scientists embarked on a new form of scientific inquiry seeking to understand the behavior of complex adaptive systems that increasingly defied traditional reductive analysis. By combining experimental methodology with computer-based simulation tools, scientists gain greater understanding of the behavior of systems such as forest ecologies, global economies, climate modeling, and beach erosion. This improved understanding is already being used to influence policy in critical areas that will affect our nation’s future, and the world’s.

BibTeX - Entry

@InProceedings{begel:DagSemProc.07081.8,
  author =	{Begel, Andrew},
  title =	{{End User Programming for Scientists: Modeling Complex Systems}},
  booktitle =	{End-User Software Engineering},
  pages =	{1--2},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2007},
  volume =	{7081},
  editor =	{Margaret H. Burnett and Gregor Engels and Brad A. Myers and Gregg Rothermel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2007/1077},
  URN =		{urn:nbn:de:0030-drops-10774},
  doi =		{10.4230/DagSemProc.07081.8},
  annote =	{Keywords: StarLogo, Science, Modeling, Complex Systems}
}

Keywords: StarLogo, Science, Modeling, Complex Systems
Collection: 07081 - End-User Software Engineering
Issue Date: 2007
Date of publication: 02.07.2007


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