Search Results for "agents"

EcoLab is a C++ based Agent Based Modelling system, with emphasis on high performance computing for scaling to large simulations.

It is an open source scientific library that is focused on multi-agent simulations on graphs. It prepares basic toolkit for agents, models, timers, graphs, nodes and edges. It is also accompanied with tools for data processing.

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...

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

...It aims to support the exploration of genetically rooted phenomena like - aging (programmed cell death) - sexual and asexual reproduction - altruism of individuals - spread of diseases The typical way of using Exreco starts by defining the behavior of your replicators ( agents that can reproduce and evolve over time), and defining the environment of these replicators. If it is all done you can let it run observing what kind of genes prevail over time. The tool typically runs the same world (experiment scenario) over and over again to have a statistical understanding of the various replicator strategies.

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.

A python framework for fuzzy inference computations

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.

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.

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.

For the purpose of policy simulation in coupled social-ecological systems (e.g. energy supply), a credible modelling of actors – especially citizens – and their decision processes is needed. This requires a framework capable of handling high numbers of heterogeneous agents (several hundreds of thousands). LARA (Lightweight Architecture for boundedly Rational Agents) meets these requirements and fills the gap between frameworks without built-in psychological foundations and full-fledged cognitive architectures which are both not viable options in this context. LARA provides prefabricated components of an agent’s decision process like perception, memory, and different modes of decision making. ...

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

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.

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.

breve is a free, open-source 3D multi-agent simulation package designed for simulating decentralized systems and artificial life.

A Simulation based on SWI Prolog

DCOPolis is a framework for comparing and deploying distributed decision processes in heterogeneous environments, including simulation in a virtual machine.