Beginners Interactive NetLogo Dictionary (BIND)
Farsi / Persian
Resources and Links
Please send additional resources or links
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Another good place to ask questions is Stack
If you're a Java or Scala developer interested in NetLogo
development, NetLogo internals, the NetLogo source code,
or NetLogo API's, browse or join netlogo-devel.
If you're trying to make your own NetLogo extension or control
NetLogo from Java code, netlogo-devel is the right group.
is intended to support questions pertaining to
using NetLogo in the classroom. Curriculum design and implementation
with NetLogo is the focus of this group. Feel free to post a question
or join the discussion. Follow the above link to browse the group, or
link to join.
Live chat (IRC)
For live about chat about NetLogo (including NetLogo modeling and
development work on NetLogo itself), use any Internet Relay Chat (IRC)
client to join the #netlogo IRC channel on the Freenode network.
Collections of models
by Forrest Stonedahl & Uri Wilensky
BehaviorSearch is an add-on for NetLogo that can help automate the exploration of agent-based models (ABMs), by using genetic algorithms and other heuristic techniques to search the parameter-space. (supports NetLogo 5)
- IODA for NetLogo
by Sébastien Picault and Philippe Mathieu
NetLogo implementation of the "Interaction-Oriented" methodology
for the design of agent-based simulations ("IODA"). Includes an extension,
an include file, several programming examples, and detailed documentation.
from L'institut des Systèmes Complexes – Paris Île-de-France
Open MOdeL Experiment is a generic workflow engine providing distributed computing facilities.
Framework for defining Design of Experiment (DoE) on simulation models, including NetLogo models.
- MEME (Model Exploration Module)
by AITIA International
A BehaviorSpace-like tool that supports running parameter sweeping experiments and analyzing
the results. Works with NetLogo as well as other ABM tools such as Repast.
by Jan C. Thiele
"Interface to embed NetLogo into the R environment with headless (no GUI) and interactive GUI mode. Provides functions to load models, execute commands and to get values from reporters." (see also the NetLogo-R Extension)
by Martin Dobiasch
Use cases: Create models including documentation. Include NetLogo source code in a paper automatically.
by Mike Brooks
"BODNetLogo Integrates the BOD agent design methodology and the NetLogo simulation platform... Behavior Oriented Design (BOD) is a methodology for developing control of complex intelligent agents, such as virtual reality characters, humanoid robots or intelligent environments. It combines the advantages of Behavior-Based AI and Object Oriented Design."
- NetLogo Obfuscator
by Peter Brooks
Creates “an obfuscated Code section to make the source code as
indecipherable as possible, while allowing the project to work
identically to the original”. Includes source code.
- NetLogo Cluster
by Albert Jornet Puig
A tool to automatize the launch of experiments on an HPC with a SGE scheduler for Netlogo ABM software.
- Fruit Fly Simulation
by University of Illinois
In a simulation built with NetLogo, students investigate how light, temperature, and genetic mutations affect fruit fly behavior.
Introduction to Agent-Based Modeling: Modeling Natural, Social and Engineered Complex Systems with NetLogo (2015)
by Uri Wilensky (author of NetLogo) and Bill Rand
This book introduces the purposes, uses and methods of agent-based modeling in a wide variety of contexts, using examples in NetLogo from many different fields.
We have been using drafts of the textbook for years for a combined undergraduate and graduate course in agent-based modeling at Northwestern University.
It is suitable for a wide range of audiences.
"This outstanding book offers a tour d'horizon of agent-based modeling for students, teachers, and scientists at all levels, using NetLogo... an essential contribution" - Josh Epstein, Professor, Johns Hopkins University and the Santa Fe Institute
"This is the best book out there for learning (or teaching) the art and science of agent-based modeling" - Melanie Mitchell, Portland State University and the Santa Fe Institute, author of "Complexity, a Guided Tour"
Modeling Complex and Intelligent Systems with NetLogo (2022)
by Severino F. Galan
"Each of the fifteen chapters of this book includes a number of figures, bibliographic references, and exercises of interest to the reader. The book offers students, practitioners, and researchers a broad coverage of the main aspects of modeling problems with NetLogo in the context of complexity science and artificial intelligence."
NetLogo: A Modeling Tool (2016)
by J. C. García Vázquez and F. Sancho Caparrini
"Over 250 pages grouped in 16 chapters. From basic to advanced programming concepts. Examples and exercices in all the chapters, and proposals for final projects." Also available in Spanish.
- Agent-Based Spatial Simulation with NetLogo (Volume 1) (2015)
by Arnaud Banos, Christoph Lang, and Nicolas Marilleau
“illustrates, using the heavily utilized free software NetLogo, the main principles of agent-based spatial simulation. It will provide theoretical and conceptual backgrounds as well as algorithmic and technical insights”
- Spatial Simulation: Exploring Pattern and Process (2014)
by David O'Sullivan and George Perry
“The book is organised around the idea that a small number of spatial processes underlie the wide variety of dynamic spatial models... more than 50 specific models described in the book are available... for exploration in the freely available NetLogo platform.”
- A Field Guide to NetLogo (2014)
by Steve Scott and Matt Koehler
“This guide has been developed for graduate students at George Mason University in the Department of Computational Social Science who need to develop agent-based models but are
not familiar with NetLogo modeling and language syntax. This is not intended to be a comprehensive review of the NetLogo environment and language, nor to supersede the existing NetLogo documentation, but rather is intended as a teaching aid for students developing their
first agent-based models. In much the spirit of a field guide from the natural sciences, this guide is intended to help the reader quickly get oriented and point out key features of what may be an initially unfamiliar landscape.”
- Agent-Based Computational Economics Using NetLogo (2013)
by Romulus-Catalin Damaceanu
“The eBook explores the techniques, researchers can create, use and implement multi-agent computational models in Economics by using NetLogo software platform...”
- Introduction to Agent-Based Modeling (2012)
by Marco A. Janssen
“This textbook is based on a collection of lecture notes that I prepared during the last few years in teaching an undergraduate course on agent-based modeling at Arizona State University.”
- Agent-based and Individual-based Modeling: A Practical Introduction (2011)
by Steven F. Railsback and Volker Grimm
“This is not just a book on NetLogo, but a book on scientific modeling that includes learning to use NetLogo software...
It is intended for classes at upper-undergraduate or higher levels, and for self-instruction by students and scientists.”
- It's about time. Project-Based Inquiry Science (PBIS) (2011)
by Kolodner, J.L., Krajcik, J.S., Edelson, D.C., Reiser, B.J., & Starr, M.L.
"Project-Based Inquiry Science™, students take part in science learning experiences framed around answering Big Questions or addressing Big Challenges that guide instruction and serve to organize their learning progressions. As students pursue answers, they conduct investigations, make models, collect and analyze data, weigh evidence, write explanations, and discuss and present findings."
- Artificial Intelligence—Agents and Environments (2010)
by William John Teahan
Free online book. “Topics include agents, environments, agent movement, and agent embodiment. It also provides an introduction to programming in NetLogo.” Accompanied by two books of exercises (1, 2) and dozens of models.
- Fundamentals of Multiagent Systems with NetLogo Examples (2009)
by José M. Vidal
Free online textbook “for a graduate or advanced undergraduate audience...
the reader is assumed to be familiar with basic Artificial Intelligence techniques.”
- Simulation for the Social Scientist (2005)
by Nigel Gilbert and Klaus G. Troitzsch
Covers NetLogo in addition to other tools.
in other languages:
(in addition to those in the NetLogo User Manual)