Search Results for "agent based modelling"

Founded in 1997, FlightGear is developed by a worldwide group of volunteers, brought together by a shared ambition to create the most realistic flight simulator possible that is free to use, modify and distribute. FlightGear is used all over the world by desktop flight simulator enthusiasts, for research in universities and for interactive exhibits in museums. FlightGear features more than 400 aircraft, a worldwide scenery database, a multi-player environment, detailed sky modelling, a...

Art of Illusion is a full featured 3D modelling, rendering, and animation studio. It is written entirely in Java, and can run on almost any operating system.

Important: Groimp migrates to Gitlab. You can find the latest code at "https://gitlab.com/grogra/groimp/". The version on Sourceforge will not be updated anymore. The modelling platform GroIMP is designed as an integrated platform which incorporates modelling, visualisation and interaction. It exhibits several features which makes itself suitable for the field of biological or ALife modelling: The “modelling backbone” consists in the language XL. It is fully integrated, e.g., the...

We define a simulant or (a bioinformant) as a software agent which serves as an assistant for a scientist. Simulants/Bioinformants will help scientists to manage, process and analyze their data, based on knowledge specific to the context and the domai

Point-based modelling and rendering using radial basis functions

AFAR (AgentFactory Augmented Reality) is a NetBeans module for developing intentional agent based Augmented Reality (AR) applications. AFAR deploys AgentFactory agents.

Xface is a set of open source tools for creation of MPEG-4 and keyframes based 3D Talking Heads controlled over network with SMIL-Agent scripts.

Freedom is a massively multiplayer role playing game allowing a dynamic world where players can work together to change the world using a variety of skills, including combat, magic, construction and crafting. Dynamic 3D modelling ensures a vibrant game.

multi-agent approach to traffic control: -3D visualization -XML-input for traffic networks -simulation progress control -basic performance statistics -delegate MAS -BDI based vehicles -pluggable behavior modules -pluggable coordination modules