Search Results for "agent simulation"
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Showing 22 open source projects for "agent simulation"
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Agents.jl
Agent-based modeling framework in Julia
Agents.jl is a pure Julia framework for agent-based modeling (ABM): a computational simulation methodology where autonomous agents react to their environment (including other agents) given a predefined set of rules. The simplicity of Agents.jl is due to the intuitive space-agnostic modeling approach we have implemented: agent actions are specified using generically named functions (such as "move agent" or "find nearby agents") that do not depend on the actual space the agents exist in, nor on the properties of the agents themselves. ... -
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colleague-skill
Transform a cold separation into a warm Skill
colleague-skill is a specialized agent skill designed to simulate a collaborative teammate within AI-driven workflows, enabling agents to behave more like human colleagues in problem-solving scenarios. The project focuses on enhancing interaction quality by introducing role-based behavior, contextual awareness, and cooperative task execution. It allows agents to provide suggestions, feedback, and alternative approaches, mimicking real-world collaboration dynamics. The system likely... -
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Grey Wolf Optimizer for Path Planning
Grey Wolf Optimizer (GWO) path planning/trajectory
...This project demonstrates applications in multi-agent and multi-UAV cooperative path planning, making it useful for research and educational purposes in the field of intelligent optimization and robotics. -
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AlphaZero.jl
A generic, simple and fast implementation of Deepmind's AlphaZero
Beyond its much publicized success in attaining superhuman level at games such as Chess and Go, DeepMind's AlphaZero algorithm illustrates a more general methodology of combining learning and search to explore large combinatorial spaces effectively. We believe that this methodology can have exciting applications in many different research areas. Because AlphaZero is resource-hungry, successful open-source implementations (such as Leela Zero) are written in low-level languages (such as C++)... -
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SANTETIN
Santetin is a website stress test and DDOS simulation tool
Santetin is a powerful desktop application built with Electron to perform website stress tests, penetration testing simulations, DDOS attacks, and traffic jingling for testing and educational purposes. ⚠️ Disclaimer: This tool is intended for educational and testing purposes only. Do not use it against any website without explicit permission from the owner. -
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Gym
Toolkit for developing and comparing reinforcement learning algorithms
Gym by OpenAI is a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents, everything from walking to playing games like Pong or Pinball. Open source interface to reinforce learning tasks. The gym library provides an easy-to-use suite of reinforcement learning tasks. Gym provides the environment, you provide the algorithm. You can write your agent using your existing numerical computation library, such as TensorFlow or Theano. It makes no... -
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0xsp Mongoose RED for Windows
Framework for cybersecurity simulation and red teaming operations
0xsp mongoose red version is provided to assist your needs during cyber security simulation, by using this version you will be able to audit a targeted Windows operation system for system vulnerabilities, misconfiguration, and privilege escalation attacks and replicate the tactics and techniques of an advanced adversary in a network. With node js support for web application API, it becomes much easier for installation and customization in a timely manner, the windows sensor agent will communicate with application API to transfer results and receive commands as a bidirectional technique. -
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Replica Dataset
High-fidelity indoor 3D dataset for AI simulation and robotics
...Each environment contains detailed models of real-world spaces, including rooms, furniture, glass, and mirror surfaces. The dataset also provides semantic and instance segmentations, planar decomposition, and navigation meshes, making it highly suitable for simulation, visual perception, and autonomous navigation tasks. Replica integrates seamlessly with AI Habitat, Meta’s framework for embodied AI training, enabling large-scale agent simulation and photorealistic rendering for reinforcement learning and robotics. Researchers can use Replica’s ReplicaViewer to interactively explore the 3D scenes. -
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JAS-mine
Toolkit for agent-based & dynamic microsimulation modelling
JAS-mine is a Java platform that aims at providing a unique simulation tool for discrete-event simulations, including agent-based and microsimulation models. With the aim to develop large-scale, data-driven models, the main architectural choice of JAS-mine is to use whenever possible standard, open-source tools already available in the software development community. It has built-in utilities for communicating with an underlying relational database. -
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UrlTester
Open your url in 5 browsers at same time
This tool is useful for checking how your site is visible in popular browsers. Compare your site on IE, Firefox, Chrome, Safari and Opera. Execute Stress-Test on your site, with the simulation of many user-agent. You can monitoring your site by the new portal www.mymonitor24.com. -
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TDD MAS Toolkit
A set of powerful tools to perform TDD on MAS based on JADE
The TDD MAS Toolkit provides a set of tools to perform Test Driven Development of MAS based on Jade. The toolkit allows developers to set up simulation based and test case scenario based testing, providing powerful insights of the MAS under construction and assuring that the interation protocols and agent interaction in general are been enacted as expected. -
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famos
Framework for Agent-oriented MOdelling and Simulation
Famos is a Java-based framework for developing agent-based models. It uses the discrete-event simulation framework Desmo-J (http://desmoj.sourceforge.net) as its simulation engine. Famos implements event-driven time advance and focusses on supporting an explicit model of space for the environment, including the movement of agents. Famos was developed in the context of a PhD project. -
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A framework and runtime environment for exploring agent-based models designed to support the definition of models using an expressive, high-level and extensible Java API and to support the exploration of these models in both interactive and batch mod
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breve is a free, open-source 3D multi-agent simulation package designed for simulating decentralized systems and artificial life.
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MASyV (Multi-Agent System Visualization) enables one to write agent-based models/cellular automata, eg. in C, visualize them in real time & capture to movie file with MASyVs GUI & message passing lib. Includes examples: Hello World, ants, viral infection
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The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover
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GridABM is an easy-to-use toolkit to develop high-performance agent-based models (ABMs) in Repast. GridABM facilitates large-scale simulation of ABM on multicore computers, local computing clusters, or computational grids.
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An enhanced Simulator based on Agent Grid Repast.It has some bugs cleared from Agent Grid Repast and has enhanced features on Group Selection Policy.
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Artificial Life is a free and open sourced Java framework use to simulate Life. It is a multi-agents framework where each agent runs it is own Thread.
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Spyse is a software framework for building multi-agent systems. It allows Python developers to build distributed intelligent systems of multiple cooperative agents based on FIPA, OWL, SOA and many others. Spyse is designed for ease-of-use and fun.
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This is a framework to develop Contexts and Agents and a Container to run them. The Container lets each Agent interact with the Context and other Agents. The agents are deployed in jar files and each one runs in an exclusive sandbox.
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SeSAm (Shell for Simulated Agent Systems) provides a generic environment for modelling and experimenting with agent-based simulation with a special focus on the easy construction of complex models including dynamic interdependencies or emergent behaviour
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