GasLab an Extensible Modeling Toolkit for Connecting Micro-and Macro-properties of Gases. Computer-based modeling tools have largely grown out of the need to describe, analyze, and display the behavior of dynamic systems. Recent decades have seen increasing recognition of the importance of understanding the behavior of dynamic systems—how systems of many interacting elements change and evolve over time and how global phenomena can arise from local interactions of these elements. New research projects on chaos, self-organization, adaptive systems, nonlinear dynamics, and artificial life are all part of this growing interest in system dynamics. The interest has spread from the scientific community to popular culture, with the publication of general-interest books about research into dynamic systems (Gleick 1987; Waldrop, 1992; GellMann, 1994; Kelly, 1994; Roetzheim, 1994; Holland, 1995; Kauffman, 1995).

References in zbMATH (referenced in 5 articles )

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  1. Zhang, Lishan; VanLehn, Kurt; Girard, Sylvie; Burleson, Winslow; Chavez-Echeagaray, Maria Elena; Gonzalez-Sanchez, Javier; Hidalgo-Pontet, Yoalli: Evaluation of a meta-tutor for constructing models of dynamic systems (2014) MathEduc
  2. Blikstein, Paulo; Wilensky, Uri: An atom is known by the company it keeps: A constructionist learning environment for materials science using agent-based modeling (2009) MathEduc
  3. Sengupta, Pratim; Wilensky, Uri: Learning electricity with NIELS: thinking with electrons and thinking in levels (2009) MathEduc
  4. Paparistodemou, Efthymia; Noss, Richard; Pratt, Dave: The interplay between fairness and randomness in a spatial computer game (2008) MathEduc
  5. Wilensky, Uri: Statistical mechanics for secondary school: The GasLab multi-agent modeling toolkit (2003) MathEduc