Search Results for "computer science projects"

...For more information about dnrDALMAS, see the following technical report: Hjelmblom, M. (2008). Deontic action-logic multi-agent systems in Prolog. University of Gävle, Division of Computer Science; University of Gävle. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-1475 See also: Odelstad, J., & Boman, M. (2004). Algebras for Agent Norm-Regulation. Annals of Mathematics and Artificial Intelligence, 42(1), 141–166. http://doi.org/10.1023/B:AMAI.0000034525.49481.4a

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.

...Also, the quality of the individual agent's trajectory is high enough for creating massive pedestrian crowds in movies. Since libpedsim is easy to use and extend, it is a good starting point for science projects.

The April project defines a set of C++ objects (World, Actor, Sensor, Reflex, Brain, Actuator, Event) that help simulate various environments. The world has an amount of energy that the user may use to create Actors and components while Actors may also create other Actors from their own energy. The code is structured in several layers: - april-core simply defines the library and the objects - april-gui builds on the concepts in april-core, giving a visual interpretation to the...

Artificial life simulation where computer programs (virtual organisms or VOs for short) compete on a grid for computer time. May the most intelligent VO win!

Java JNI API for morphological analysis of Russian. Note: C++ JNI code and the core code is at the project http://sourceforge.net/projects/seman/ .

This project aims to promote computer science. In the way of 'serious games', it will particularly help students to improve their computer skills. This project provides a framework to create space battles between AI.

MILT is designed to facilitate research in imitation learning through first-person computer games. Featuring strategic, tactical and reactive modules, it allows developers to work with their preferred games or take advantage of integrated Quake2 support.

A simulation environment for 2D robots to interact and perform tasks in. Meant to be educational and demonstrate emergent behaviors. No download necessary! See demos on project website!