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Java based multi-agent platform built on an organizational model (agent, group, role). MadKit provides general agent facilities (lifecycle management, message passing, distribution, ...), and allows high heterogeneity in agents.
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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.
SARGE - Search And Rescue Game Environment is a multi-player training game for robot operators which also supports agent based robot control for simulation work via TCP.
AMASBE (Advanced Multi Agent System Bullwhip Effect) is a bullwhip-effect control system for supply chains based on forecasts that uses Java Agent DEvelopment Framework (JADE).
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/).
The Evolutionary Environment Simulator (EvESimulator) is an agent-based economy simulation framework which provides a broader view on evolutionary aspects within a Digital Business Ecosystem.
UbikSim is an infrastructure to study complex AmI (Ambient Intelligence) applications which involve a large number of users. It is a MABS (multi-agent based simulation) programmed in MASON and aims to be as descriptive as possible.
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.
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.
This web applet simulates "conscious agent" dynamics as described by Donald D. Hoffman, et al. It allows 1 to 8 agents to interact in 1, 2 or 3 dimensions, and graphically shows the progress of the simulation.
ERepSim presents an agent-based cloud simulation environment integrating electronic institutions from multiagent research to simulate Internet-of-Services systems.
A suite of machine learning benchmarks where each agent must solve a lot of different tasks without recompilation. This means that the programmers cannot manually specify topologies or adjust parameters to specific tasks.
TOAST (Trust Organisational Agent System Testbed) is a simulation framework used to evaluate and compare different trust models for agents embedded in organisational systems.