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JPlan is a java implementation of GraphPlan, a fast domain independent planner. JPlan allows developers and researchers to use and experiment with this planner, build variants of GraphPlan, and add a planning capability to their new projects.
CharlieBot is an artificial intelligence program written in the Java language. It is based on work from the ALICE, ANNA v7.0, and Program D v4.1.5 projects. It works on Mac OS X or any Java 1.3 VM. Charlie is a 58 year old computer enthusiast.
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An object oriented framework for AI research in intelligent agents. Extensible to any information source. Graphics toolkit for visualization to view bots in real time. Extensible GUI to run bots and visualizations under common framework.
Fungus is a framework for distributed simulation by multi-agents.
It uses a very modular architecture.
A GUI is provided.
In our model, everything is Agent. Even the environnement.
You have an access to the communication's 'canals'.
This project aims to create a block oriented visual workbench for general purpose systems modelling and simulation.
In the first milestone, we`ll build a simple GUI and the basic blocks to model neural network training and internetwork topologies.
JBotRace is a car racing simulator, in which the cars are driven by bots. The bots are small programs written in Java and it is your task to develop the best bot! JBotRace contains a complete GUI for viewing races and developing the bots.
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This project consists in tools programmed during the Master in Artificial Intelligence at UCLA, Venezuela. Este proyecto consiste en herramientas que programadas durante la Maestría de Inteligencia Artificial en la UCLA, Venezuela. 2006 - 2007
Jatobo (Java TOC Bot) is another Bot connecting to the ICQ and AIM networks via the TOC2 library. For that purpose it uses Jatoli (Java TOC Library) also included in this project. Feel free to use it for your projects.
This project is intended to become an advanced software tool which will allocate resources for projects described by Gantt charts and rules, it also will try to create plans and schedules, based on templates, rules and historical information.
This projects implements various optimization heuristics and meta-heuristics (such as local search, VND, GRASP, Simulated Annealing, and more still to come) finding solutions on the post enrolment course timetabling problem.