krABMaga: A modern developing art for reliable and efficient Agent-based Model (ABM) simulation with the Rust language

An Agent Based Modeling system (ABM)

villager is an extensible agent based modeling (ABM) framework for the R language. It supports agents, agent aggregations and their associated resources, as well as flexible data management.

Minimalist Agent Based Modeling (ABM) platform that runs directly in the browser

ABM framework for modeling swarm behavior

An Agent-Based Modelling (ABM) Framework for Unity3D

A comprehensive list of literature on Agent Based Models (ABM) in Archaeology. Maintained and created by Iza Romanowska and Lennart Linde.

Go ABM (Agent-Based Modelling) library

ABM-in-Visum: a collaborative project for activity-based transport demand modelling within the PTV Visum software hosted by Swiss Federal Railways (SBB).

A Mesa-based ABM library for epidemiological (SIR) modeling.

Simulation of utility tokens for trading renewable energy in urban slum communities. Agent-based model (ABM)

A general framework for quick epidemiological ABM models

BehaviorSearch is a software tool to help with automating the exploration of agent-based models (ABMs), by using genetic algorithms and other heuristic techniques to search the parameter-space. BehaviorSearch interfaces with the popular NetLogo ABM development platform, to provide a low-threshold way to search for combinations of model parameter settings that will result in a specified target behavior.

Based on the MESA package in Python, this project builds an electric vehicle driving and charging simulation platform based on the agent-based modeling (ABM).

An ABM model of tsunami evacuation

Implements an Agent-Based Model (ABM) in a reactive framework with a matching engine and includes RL agents to enable exploration of learning dynamics.

ABM framework for dispersal modeling

An agent-based model (ABM) that can simulate the dynamics of influencer advertizing campaigns in a variety of scenarios and can help to discover the best influencer marketing strategy

A general framework for quick epidemiological ABM models

Codes for the ABM Modelling

Flood-ABM: An agent-based model of differential flood effects on population groups and their decision-making processes

A Mesa-based ABM for modeling meme propagation on social media

This project provides an integrated environment with tools to study traffic flow in Teatinos, Málaga. It automatically collects, refines, and stores traffic information for effective historical analysis. Additionally, it uses an Agent-Based Model (ABM) to simulate traffic behavior.

A Julia package for building Agent-Based Models (ABMs).

Julia implementation of Spatial Prisoners Dilemma game by Agent-Based Modelling(ABM)

C++ implementation of an agent-based model (ABM) for observing opinion dynamics in networks and studying the spiral of silence

本项目旨在推动 Agent-Based Modeling (ABM) 在中文社区的推广，特别关注 ABM 与地理信息系统（后期可以是任意其他学科领域，先以GIS作为测试案例进行开发）的交叉应用。核心任务是从海量学术文献中系统地筛选、整理和解读 ABM+GIS 领域（后期可以是任意其他学科领域）的高质量研究论文，并定期以“ABMind论文速递”的形式发布，重点宣传以 Mesa 为代表的 ABM 工具。 为了提高效率和应对大量文献，本项目规划了自动化流程，特别是利用大型语言模型 API（如 Gemini API）辅助文献的摘要翻译、亮点提取和推荐理由生成。

Our agent-based model (ABM) of the spread of Hepatitis C within a community of intravenous drug users keeps track of individuals (or agents) in the population, as well as the kind of connections that form between them. These agents and their connections are organized into a network diagram, where nodes represent agents and edges indicate that some kind of relationship exists between two individuals. Hepatitis C is largely spread through the sharing of drug-related equipment such as syringes, where the virus may persist for several hours or even longer than a day. Our model will directly track the number of infected and uninfected pieces of equipment that each individual owns and potentially shares. This will allow for a precise assessment of the benefits of programs that seek to remove infected equipment from a population, either by means of some form of exchange, as in Needle Exchange Programs, or by distributing clean equipment in an effort to bolster the circulation of uninfected equipment. The network attempts to model a community of injection drug users (IDUs) where two individuals have the potential to share their equipment if they are linked by an edge. Each individual is assigned a variety of attributes such as their age, how frequently they use drugs, how frequently they share with others, etc. The network is initialized with a certain set of connections between nodes, but as the simulation progresses some edges may break and new ones may be formed. We start off the simulation with only a certain small percentage of the population infected and, having adjusted the various parameters controling frequency of use and sharing, we can track the population of individuals and needles. In particular, we can determine what effects on the populations of infected individuals and needles are achieved by various adjustments of the parameters. Events in the model such as sharing and use of drugs are drawn randomly in order to approximate the random nature inherent to the dynamics of such systems. In order to make meaningful predictions, we run the simulation several hundred times, with various parameter sets and we can identify which parameters are most significant to the rise and fall of the infection. The model is written in Python, and we implement the NetworkX library to graph and modify the underlying network.

Syllabus, cours et modèles pour la semaine ENAC ABM-2014

example reproducible ABM + RMarkdown analysis pipeline based on the NetLogo wolf-sheep predation model