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Projects archive / Pjawns

Code:pjawnsMartin2003
Title:Pjawns
Author:John Martin
Date:15-Jan-2003
Type:model
Funding:4YM - Undergraduate fourth year module coursework
Short description:The game of Pjawns
EM Technologies:tkeden, %eden, %scout, %donald
Keywords:game
empublic references:
EMpress references:
Web site references:
Previous locations:

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
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README.xml 982 02:39 PM Oct 23 2003 12:19 PM Jul 27 2017
README.xml~ 960 01:30 PM Oct 23 2003 12:19 PM Jul 27 2017
board.eden 37676 11:22 AM Jan 17 2003 12:19 PM Jul 27 2017
computer_player.eden 3218 11:22 AM Jan 17 2003 12:19 PM Jul 27 2017
game_setup.eden 4217 11:22 AM Jan 17 2003 12:19 PM Jul 27 2017
help.txt 1130 11:54 AM Jan 17 2003 12:19 PM Jul 27 2017
load_save.eden 3401 11:22 AM Jan 17 2003 12:19 PM Jul 27 2017
moves_record.eden 1553 11:22 AM Jan 17 2003 12:19 PM Jul 27 2017
pjawns.eden 19355 11:22 AM Jan 17 2003 12:19 PM Jul 27 2017
pjawns.scout 33193 11:22 AM Jan 17 2003 12:19 PM Jul 27 2017
readme.xml 668 11:22 AM Jan 17 2003 12:19 PM Jul 27 2017
replay.eden 5580 11:22 AM Jan 17 2003 12:19 PM Jul 27 2017
rules.eden 6756 11:22 AM Jan 17 2003 12:19 PM Jul 27 2017
run.eden 319 11:22 AM Jan 17 2003 12:19 PM Jul 27 2017
saved.eden 266 10:12 AM Oct 23 2003 12:19 PM Jul 27 2017
screenshot.gif 42348 01:24 PM Oct 23 2003 12:19 PM Jul 27 2017
timer.eden 2047 11:22 AM Jan 17 2003 12:19 PM Jul 27 2017

empublic system initially created by Ashley Ward with assistance from Chris Roe and Meurig Beynon.