| |
|
This page contains several software packages, that you may find useful:
- Pursuit Domain Package (v0.9)
- This package contains several components that make up the well-known
pursuit domain (or predator/prey domain) in which it is the goal of the predators
to capture the prey as fast as possible in a discrete grid-like world. Using
this package, you can
directly start with the implementation of the predator without having to
worry about the other implementation details. This
package has been used since spring 2001 for the lab course of the course
Multiagent Systems and Distributed AI. A description of the software
package is available here.
The package has been developed under Linux, but most parts
can also be compiled under Windows (using Cygwin). Pre-compiled Windows binaries (v0.8)
are available here.
The package is released
under the LGPL license.
David Jiang was so kind to
port the logplayer v0.9 code to the Windows OS. His version can be
downloaded here.
The previous version 0.8 can also be downloaded: 0.8 version.
You may also want to check the introductory text 'A Concise Introduction
to Multiagent Systems and Distributed AI' that has been used as
basis for the aforementioned course. It is fully available
here.
- Geometry library
- This C++ library contains several methods for performing geometrical
calculations using either points, lines, rectangles or circles. It is released
under the LGPL license.
- UvA Trilearn RoboCup base code
- This well-documented framework for a RoboCup 2D Simulation team based on the
UvA Trilearn team implements the world model and a large amount of skills of
the agents. Furthermore, it defines a simple team strategy. This
base code is used by many of the RoboCup simulation teams;
|
