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AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
The Mobility Open Architecture Simulation and Tools (MOAST) framework aids in the development of autonomous robots. It includes an architecture, control modules, interface specs, and data sets and is fully integrated with the USARSim simulation system.
Spark is a physical simulation system. The primary purpose of this system is to provide a *generic* simulator for different kinds of simulations. In these simulations, agents can participate as external processes.
This project proposes a virtual laboratory for social scientists interested in the modelling, analysis and behavioral simulation of power relationships within organizations and more generally in systems of collective action.
This software is grounded on the works lead by Sibertin-Blanc and Roggero on the formalization of the Sociology of Organised Action [Crozier and Freidberg].
Visit the homepage of the project on soclabproject.wordpress.com for tutorials, examples and further...
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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.
USARSim (Unified System for Automation and Robot Simulation) is a high-fidelity simulation of robots and environments based on the Unreal Tournament game engine. It is intended as a research tool and is the basis for the RoboCup rescue virtual robot comp
Spirit Development Kit is a SDK for development, simulation, and evolving of intelligent agents. Includes a library of AI algorithms and more a framework for modelling and simulations.
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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.
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.
Laputa is a research tool and a sandbox environment for simulating the attainment of knowledge in social networks, such as scientific departments, editorial boards, expert groups, and the general public. It was developed at the philosophy department at the university of Lund.
EVO is a simulation platform for co-evolving the morphology and the behavior of 3D artificial agents in a complex environment. This project directly follows the original work of Karl Sims. It puts together complex creatures, a GA & Open Dynamics Engine.
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.
Critterding is a "Petri dish" universe in 3D that demonstrates evolving artificial life. Critters start out with completely random brains and bodies, but will automatically start evolving into something with much better survival skills.
This project has been moved to https://bitbucket.org/pbazant/evoversum/src/master/ .
Evoversum is a fast Darwinian evolution simulator. The program simulates a 2D world populated with "animals" which struggle for food, reproduce and may also eat each other. The subject of evolution is their behavior, which may become quite complex. There is an updated video tutorial at http://www.youtube.com/watch?v=nPkZvyVDWJU !
Software agents and human actors combine their decision making skills to arrive at efficient solutions to real-life planning and scheduling problems, especially in domains where unexpected incidents require changes to existing plans.
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
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
Siafu simulates individual agents and their context, from home to city-wide scenarios. As a developer, you use the API to write your simulation for the purposes of data-set generation, test or visualization, optionally hooking it to your own application.
DCOPolis is a framework for comparing and deploying distributed decision processes in heterogeneous environments, including simulation in a virtual machine.
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'.