Model developed by John Martin (4 year MEng, 1999-2003) during coursework assignment 2002-2003 'Introduction of Empirical Modelling' course. Models the
fictional board game of Pjawns (similar to draughts, but with some ideas borrowed from chess).
Includes the ability to load and save board games, automatic replay of games and a fairly basic AI computer player.
Well constructed model that is robust and easy to use - although does have some conceptual errors with the switching of turns to the AI player and back.
[Russell B]
| pjawnsMartin2003 is available locally within DCS at /dcs/emp/empublic/projects/pjawnsMartin2003 |
| Download pjawnsMartin2003.tar.gz Uncompressed, pjawnsMartin2003 is 159.8 Kbytes (in 17 files). Your download will be smaller as it will be compressed. Help on extracting the files from the download. |
README.xml |
982 | 03:39 PM Oct 23 2003 | 09:53 AM Apr 02 2007 |
README.xml~ |
960 | 02:30 PM Oct 23 2003 | 09:53 AM Apr 02 2007 |
board.eden |
37676 | 11:22 AM Jan 17 2003 | 09:53 AM Apr 02 2007 |
computer_player.eden |
3218 | 11:22 AM Jan 17 2003 | 09:53 AM Apr 02 2007 |
game_setup.eden |
4217 | 11:22 AM Jan 17 2003 | 09:53 AM Apr 02 2007 |
help.txt |
1130 | 11:54 AM Jan 17 2003 | 09:53 AM Apr 02 2007 |
load_save.eden |
3401 | 11:22 AM Jan 17 2003 | 09:53 AM Apr 02 2007 |
moves_record.eden |
1553 | 11:22 AM Jan 17 2003 | 09:53 AM Apr 02 2007 |
pjawns.eden |
19355 | 11:22 AM Jan 17 2003 | 09:53 AM Apr 02 2007 |
pjawns.scout |
33193 | 11:22 AM Jan 17 2003 | 09:53 AM Apr 02 2007 |
readme.xml |
668 | 11:22 AM Jan 17 2003 | 09:53 AM Apr 02 2007 |
replay.eden |
5580 | 11:22 AM Jan 17 2003 | 09:53 AM Apr 02 2007 |
rules.eden |
6756 | 11:22 AM Jan 17 2003 | 09:53 AM Apr 02 2007 |
run.eden |
319 | 11:22 AM Jan 17 2003 | 09:53 AM Apr 02 2007 |
saved.eden |
266 | 11:12 AM Oct 23 2003 | 09:53 AM Apr 02 2007 |
screenshot.gif |
42348 | 02:24 PM Oct 23 2003 | 09:53 AM Apr 02 2007 |
timer.eden |
2047 | 11:22 AM Jan 17 2003 | 09:53 AM Apr 02 2007 |
empublic system initially created by Ashley Ward with assistance from Chris Roe and Meurig Beynon.