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Netlogo let6/12/2023 Supplementary to the Info window, the author can also comment on each line of code for a more comprehensive understanding of the interactions occurring. The Code window is self-explanatory it contains the heart of the simulation-the code itself. This is especially helpful for conveying the specifics of the code to an untrained audience. The Info window allows the author to provide detailed context for each simulation, and explanations for each section of code. It contains various display and plotting tools, allows the user to interact with specified variables, and features a command line. The primary function of the Interface is for visualization and interaction. NetLogo is divided into three windows: Interface, Info, and Code. In addition, NetLogo contains an extensive models library that provides sample programs from all different disciplines, which is very useful for the purpose of teaching and learning. The language reads like English, making it relatively easy for a layperson to understand the functionality of each line of code. The interface makes it possible for users to interact with the variables within a simulation and visualize the results without having to look at the code itself. For this reason, it is ideally suited for conveying the results of complex simulations to individuals with relatively little knowledge of how to program. You don’t need to know other programming languages to work with and understand the programs designed within NetLogo. It is commonly used by economists, anthropologists, and physicists, just to name a few. The language was heavily influenced by Logo, and is designed for users from many disciplines. It allows users to explore the relationship between micro-level agents and macro-level emergent behaviors that occur. It is ideal for modeling complex systems that contain hundreds or thousands of agents interacting simultaneously. Users should refer to the original published version of the material for the full abstract.NetLogo is an open source agent-based modeling tool that is relatively simple to use. No warranty is given about the accuracy of the copy. However, users may print, download, or email articles for individual use. Copyright of Journal of Artificial Societies & Social Simulation is the property of Journal of Artificial Societies & Social Simulation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission.Finally, we argue that future work should explore the relationships between these six dimensions, and how different configurations of them might be more or less appropriate for particular modeling tasks. We argue that it is important to have a unified conceptual language for describing LevelSpace models, and present six dimensions along which models can differ, and discuss how these can be combined into a variety of ML-ABM types in LevelSpace. AS coupling of heterogenous models, dynamic adaptation of detail, and cross-level interaction - we show how easy it is to build ML-ABMs with LevelSpace. Based on three common use-cases of ML-ABMs. We present the LevelSpace framework and its associated programming primitives. In this paper we present LevelSpace, an extension that allows modelers to easily build ML-ABMs in the popular and widely used NetLogo language. Abstract: Multi-Level Agent-Based Modeling (ML-ABM) has been receiving increasing attention in recent years.
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