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Multiagent simulator of road traffic in Qt/C++ and OpenStreetMap.
Simultra is an open-source, hybrid road traffic simulator designed to handle large roadmaps in real-time. It combines microscopic and mesoscopic simulations into one multiagent hybrid simulator. The large-scale maps are modelled mesoscopically in real-time, and the complex traffic interactions benefit from detailed agent-based microscopic simulations. To resolve the concurrency issues within the maps representation and the meso-micro transitions, Simultra combines an event-based mesoscopic...
MATSim is a framework for building multi-agent transport simulations.
MATSim has moved to GitHub: https://github.com/matsim-org/matsim
Source code and newer releases are now hosted at GitHub!
JASA allows researchers in agent-based computational economics to write high-performance trading simulations using a number of different auction protocols. The software also provides base classes for implementing simple adaptive trading agents.
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The Project moved to github https://github.com/EnFlexIT/AgentWorkbench
The project has moved to github https://github.com/EnFlexIT/AgentWorkbench
Agent.GUI is a simulation framework and toolkit based on the JADE framework. It provides functionalities for time aspects, agent-environment interaction, visualization and load balancing, Furthermore, the included application focuses the usability for end users.
This project is an extension to Jadex Framework and aims to develop an autonomous agent which is using adaptive decision making architecture based on Thagard’s deliberative coherence.
Urban is a software capable of procedurally creating 3d urban environments. It's based on a multi-agent system where each agent is responsible for one type of urban object. This means the system is highly modular and can easily be extended.
Agent-based framework for Artificial Life and Complex Systems
BitBang is an agent-based simulation framework, best suited for complex systems or artificial life research. It is developed with ease of integration in mind, allowing the interplay with existing 3D and physics engines.
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
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
SimIS presents an agent-based simulation environment from multiagent research to simulate Internet-of-Services systems. The simulation environment bases on Repast Simphony 1.2 (http://repast.sourceforge.net/).
A demonstration of the result of using an agent based approach in software. Shows a swarm of icons representing agents that follow user selected rules.
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.
QASE is a Java-based API designed to provide all the functionality needed to create game agents in Quake 2. Powerful enough to facilitate high-end research, it is also suitable for undergrad courses geared towards classic AI and agent-based systems.
ERepSim presents an agent-based cloud simulation environment integrating electronic institutions from multiagent research to simulate Internet-of-Services systems.
RegMAS (Regional Multi Agent Simulator) is a spatially explicit multi-agent model framework, developed in C++ language and designed for long-term simulations of effects of government policies over agricultural systems (farm sizes, incomes, land use..).
LabLOVE (Life On a Virtual Environment) is an evolutionary multi-agent simulation environment. It is fast, modular and extensible. Contains the reference implementation for the gridbrain algorithm.
TOAST (Trust Organisational Agent System Testbed) is a simulation framework used to evaluate and compare different trust models for agents embedded in organisational systems.
Agent-based Grid simulator built on top of Repast simulation engine. Allows for a quick and easy development and analysis of agent-based coordination mechanisms for the Grid
This project simulates a multi-agent system (swarm) behavior both graphically and not. The purpose of this project is to research the properties suggested in "stability analysis of swarms" V.Gazi & K.M.Passino. Using the vpython library for 3D modeling