An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo
By U. Wilensky. 2015
643 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/144e0b19cc137a00358fe48efe9be587ec889254
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- David Weintrop
- Uri Wilensky
- Elham Beheshti
- Michael S. Horn
- Kai Orton
- Kemi Jona
- Laura Trouille
- Charles M. Macal
Citations in the corpus
- Everything you need to know about agent-based modelling and simulation (2016, background): “New simulation software languages and tools speci fi cally focussed on ABMS development have become established as open-source ABMS platforms, such as NetLogo (Wilensky and Rand, 2015; NetLogo, 2016), Repast (North et al , 2013; Repast, 2016), and MASON (Luke et al , 2005; MASON, 2016), and as commer”
- Defining Computational Thinking for Mathematics and Science Classrooms (2016, background): “Other types of systems, such as those encountered in physics, economics, and even history, involve cross-cutting concepts related to systems thinking such as feedback, emergence, stocks, and flows (Goldstone andWilensky 2008; Penner 2000;Wilensky and Rand 2015; Zuckerman and Resnick 2003).”
- Nanomedicine-Driven Modulation of the Gut–Brain Axis: Innovative Approaches to Managing Chronic Inflammation in Alzheimer’s and Parkinson’s Disease (2025, unknown): “Agent-based modeling (ABM) is a computational approach that simulates population-level phenomena based on simple rules governing individual behaviors and interactions [264,265].”