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End User Programming for Scientists: Modeling Complex Systems

2007/01/01 by Andrew Begel, Begel, Andrew
Computer Science · Economics, Econometrics and Finance · #Capital Investment and Risk Analysis #Complex Systems #Economic theories and models #Modeling #Science #Spreadsheets and End-User Computing #StarLogo

paper · doi:10.4230/dagsemproc.07081.8

openalex publication_date 2007/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

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