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A platform for setting up autonomic services in a distributed environment. Provides service discovery, service provisioning / usage, autonomic adaptation to the context, mobility, support for supervision and service aggregation, and more.
ERepSim presents an agent-based cloud simulation environment integrating electronic institutions from multiagent research to simulate Internet-of-Services systems.
ECSKernel is a multiagent coordination algorithm testbed, built on the RoboCupRescue disaster simulation platform. It is easily configurable and can be used with user-generated scenarios.
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.
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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..).
TOAST (Trust Organisational Agent System Testbed) is a simulation framework used to evaluate and compare different trust models for agents embedded in organisational systems.
bioCity is a continuous space, discrete time simulation written in C++. It is meant to be of use to population biologists. Rules of behaviour are given to individuals that move, live, die, and procreate.
An extended version of RoboCup Rescue Simulation official viewer intended to make it more informative. It utilizes charts, statistics and some missing little useful features.
ARTIcomm (ARTIFICIAL communities) – project for developing communities of intelligent embodied agents with artificial neural networks using evolutionary algorithms.
"Java Artificial Intelligence Markup Language PAD" is a tool that manages ProgramD AI (on local or remote machines) and AIML files with real-time previews and it provides a network support to test AI capabilities over many network protocols.
This project about providing run-time support for developing Decentralized Autonomic Computing systems (Eclipse Innovation Grand). Currently the project contains a automatic guided vehicle (AGV) simulator and an editor and visualisation as eclipse plugin
The Shapefile2Bin project aim to convert a real map (real city) in Shape format (ArgGIS format) to Bin format (Robocup Rescue format). The map after converted is used for Robocup Rescue Simulator (see more at: Robocup Rescue Simulation Project at SF.net)
JAgent is a multi-agents system test and development platform.
It provides a framework and GUIs helping to create and test collective strategies in a multi-agents system.
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
TrafSim is a scientific/research project that uses Agent-Based Modeling to simulate traffic. The aim is analyzing some emergent properties of interaction of these agents (cars/drivers) in a cross or high-way with U-turn structures.
Agent based model of organizations considering the interplay between the formal hierarchical structure and the process network emerging while the organization performs a task-set.
Mupisim is a simulator for distributed, mobile systems. Its primary purpose is the study of mobile processes (e.g. mobile agents) and their communication mechanisms. It may also be used to evaluate the efficiency of a given process migration scheme.
A-Life CAD is a toolkit providing a graphical interface for designing autonomous agents that can be linked against an AI game engine. Though it focuses on creating boid-like behaviours, it can also be used for physical simulation or swarm optimisation.
This project demonstrates the use of a sniper gun (physics), and the behaviour of agents in a 3D world in case of a catastrophy like the assassination of a person.
ABSim is an Agent-Object-Relationship (AOR) simulation system based on a Java program library. The development of ABSim has terminated. Its successor is <a href="http://oxygen.informatik.tu-cottbus.de/aor/?q=node/2">AOR-JSim </a>
SB-MASE is aimed at students and researchers in AI, for simulation and control of agents and robots. It uses task based decomposition and the subsumption architecture as its core control mechanisms and includes numerous possibilities for adding plug-ins.