2k BotPrize Presentation – James Shannon. Objective of Competition  Create a bot that seems human.  Bot will judge and be judged as BOT or HUMAN. 

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Presentation transcript:

2k BotPrize Presentation – James Shannon

Objective of Competition  Create a bot that seems human.  Bot will judge and be judged as BOT or HUMAN.  Judges participate in match(mod of deathmatch mode)  Grand prize for ‘humanness’ rating above the average of judges rating.

Rules  Submit entry by (deadline as of 2012 was on or before August 22 nd )  Results announced at IEEE Conference on Computational Intelligence and games.  No need to attend the conference(unless you want to)  Chatting disabled  Results date around 11 th – 14 th September  Teams can be individual or multiple people  One bot entry limit  Multiple affiliated teams may join

Prizes  Major Prize: $7000 and a trip to 2K Marin’s Canberra studios(Humanness rating >= average judges humanness rating)  If more than one team wins it will be shared  Minor prize of $2000 if no one wins major prize  Non cash prizes for best Human/Bot judges(Highest combined score over the judging rounds)

Languages and tools  UT 2004  GameBots2004 interface  Use any language and IDE you want  Must run under XP and Vista  Recommended IDE is Pogamut 3.3.0, uses JavaSDK and NetBeans.(GameBots2004 inc.)also allows use of Python and POSH.  Competition Mod(DM Mod)

GameBots2004  UT2004 Mod  Allows control of bots by external programs.  Commands sent/received via sockets.

Pogamut  Java middleware  Allows control of virtual agents in game engines  NetBeans support for debugging  Pathfinding and gathering information can be done in 1 or 2 commands(similar to Robocode)  Allows us to concentrate on the more interesting parts( like A.I!!!! )

Setup(Pogamut)  Obtain UT2004  Apply patch 3369  Install JavaSDK & NetBeans  Install Pogamut 3  GameBots2004 can be installed from Pogamut site also  Install Competition Mod

Potential for A.I development  Simple setup and info gathering, allows us to focus on A.I in greater depth  Testing environment(3D competitive video game) is ideal for testing decision making, learning(genetic) algorithms.  Pathfinding (A*/TSP) can be tested  Clearly defined objectives for modelling bots on human behaviour are available i.e. kills, accuracy, movement, decisions

Additional info  2013 Competition unannounced as 2012 one just ended. Safe assumption that it will be around the same timeframe(has been going since 2008)   index.php?page=Download index.php?page=Download  out.php out.php

Questions? If I can’t answer you will be shot(see below pic)