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NetLogon

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4.1 out of 5 stars
36 reviews
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4.1
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NetLogo

36 reviews

NetLogo is a multi-agent programmable modeling environment designed for simulating natural and social phenomena. Developed by Uri Wilensky in 1999, it has been continuously enhanced at the Center for Connected Learning and Computer-Based Modeling. NetLogo is particularly adept at modeling complex systems that evolve over time, allowing users to instruct numerous independent "agents" operating concurrently. This capability enables exploration of the relationship between individual behaviors and the emergent patterns resulting from their interactions. Key Features and Functionality: - Cross-Platform Compatibility: Operates seamlessly on Mac, Windows, and Linux systems. - Fully Programmable Language: Utilizes an extended dialect of Logo to support agent-based modeling. - Agent-Based Modeling: Facilitates the creation and control of mobile agents (turtles) that interact over a grid of stationary agents (patches), with the ability to form networks and aggregates through link agents. - Extensive Models Library: Offers a comprehensive collection of pre-written simulations across various disciplines, including biology, physics, chemistry, mathematics, computer science, economics, and social psychology. - Interactive Environment: Features an interface builder with tools like buttons, sliders, switches, and monitors, along with a command center for real-time interaction. - Visualization Tools: Provides 2D and 3D viewing options, scalable vector shapes, and dynamic plotting systems for data representation. - Participatory Simulations with HubNet: Enables networked participatory simulations where each participant can control an agent, enhancing collaborative learning experiences. Primary Value and User Solutions: NetLogo serves as a versatile platform for educators, students, and researchers to construct and analyze simulations of complex systems. Its user-friendly interface and extensive documentation make it accessible for beginners, while its robust programming capabilities cater to advanced research needs. By bridging the gap between individual behaviors and collective phenomena, NetLogo aids users in understanding and predicting the dynamics of various systems, thereby facilitating informed decision-making and deeper insights into complex processes.

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NetLogon Reviews

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Umesh D.
UD
Umesh D.
Driven by a passion for innovation, collaboration, and integrity. Always focused on continuous improvement and delivering impactful solutions.
05/12/2025
Validated Reviewer
Verified Current User
Review source: Organic

A Powerful Tool for Agent-Based Modeling

|NetLogo
NetLogo's natural language and simplicity make it easier to learn and utilize both by first-time modelers and experienced modelers. The ability to quickly prototype and visually represent agent models is immensely powerful. Well-documented and with a good modeling community and model base. NetLogo streghths lies in how it makes agent-based simulation accessible. The model library is full of many research, education, or experimentation starting points. The system supports interactive experimentation with switches and sliders and graphical displays to immediately observe the effect of a parameter change. The system also provides integration with tools such as BehaviorSpace to batch-run and HubNet to work classroom participation.
Laurence D.
LD
Laurence D.
PhD Student & REF Impact Researcher at University of Leicester
09/07/2019
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

A powerful & user-friendly programming environment for simulating social and physical systems

|NetLogo
Netlogo is both a development environment and a domain-specific programming language. The primitives and syntax of the language are tailored to the intended use: i.e. to create a series of autonomous 'elements' of a system (e.g. representing people or particles) and simulate their 'behaviour' within an environment. The language itself is highly intuitive and has a very straightforward syntax. Netlogo also includes a range of straightforward tools to create graphical displays showing the state of the simulation (and other outputs). This allows detailed inspection of the simulation during development and application (it also assists with debugging).
MV
Manel V.
10/19/2018
Validated Reviewer
Review source: G2 invite
Incentivized Review
Translated Using AI

Modeling of natural and social simulation.

|NetLogo
I like its potential to discover and show the relationship between people's behavior in the microstate and the macrostate styles that arise from their interaction. And it is easy to use this tool for beginners. The granular degree of individuals and the macro patterns that emerge from such interactions. There are many things to love about this product, particularly the fact that it could seamlessly explore the connection between the micro-level behavior of individuals and the macro-level styles that rise up in their interaction. The best component of this software is the unbound supply and it can be implemented for any operating system.

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What is NetLogon?

NetLogo is a multi-agent programmable modeling environment used for simulating natural and social phenomena. It is particularly well-suited for modeling complex systems developing over time. Programmers can give instructions to hundreds or thousands of "agents" all operating independently. This makes it possible to explore the connection between the micro-level behavior of individuals and the macro-level patterns that emerge from the interaction of many individuals.NetLogo\'s website, located at https://ccl.northwestern.edu/netlogo, offers resources such as the NetLogo software itself, user manuals, tutorials, sample models, and a community section where users can exchange ideas and models. Developed and maintained by the Center for Connected Learning and Computer-Based Modeling at Northwestern University, NetLogo is widely used in education, research, and industrial applications for studying various phenomena in biology, physics, economics, psychology, and numerous other fields. The platform is designed to be accessible to newcomers but also powerful enough for expert users to build sophisticated simulations.

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