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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).
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In Portugal every year there is place the Robotics National Festival. One competition is the "Conducao Autonoma"(Autonomous Driving). This simulator plans to be a framework that could be used to test and development the vision and controll algoritms
Database Driven RoboCup Rescue Server is a version of RoboCup Rescue Server (https://sourceforge.net/projects/roborescue/) which uses a database to store the simulation data in order to simulate a very large number of agents.
Elysia is an attempt to study the complex process behind decision making in neural systems. An evolved entity approach is used to converge on an 'intelligence' solution through genetic algorithms as well as adaptable models of distributed 'thinking'.
This project has been renamed to oooark. Old file releases will still be available here. uvsim is a project focused on enabling algorithm development for unmanned systems. It is being constructed to provide an identical interface to simulations and h
A graphical MatLab framework for estimating the parameters of, modeling and simulating static and dynamic linear and polynomial systems in the errors-in-variables context with the intent of comparing various estimation strategies.
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.
This is an attempt to port Douglas Blank's neural network "Analogator" into Matlab. It does not yet work and any helping hands out there would be nice. A recent update to 'pyrobot' includes a contemporary implementation of Analogator but there are a
Extensible framework that enables productive design, analysis, and execution of arbitrary-sized neural-networks or system on a distributed, scalable, high-throughput runtime platform. Enables synapse-oriented-programming.
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.