Our judging panel chose the 5 Warm-Up Challenge entries with the best game
A.I., production quality and fun factor. The creators of these winning games
won some terrific prizes:
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$3,000 stipend and expo passes to the 2008 Game Developers Conference
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Interviews for internships at Microsoft Research, Lionhead Studios and Rare
Ltd.
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1-year subscription to the XNA Creators Club
Check out what makes each winning entry special, and get inspired to make your
own game for the main contest.
The 2008 Dream-Build-Play Main Challenge puts more great prizes at stake. Watch
for more details on the Main Challenge coming soon!
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Conquerator
Nicholas Barratt & Gillian Allen
www.dollarshortgames.com
In this two player strategy game, each player controls nodes on a map. By
defending your own nodes and attacking the nodes of the other player, your goal
is to eliminate your opponent from the map. Compete with a friend or battle one
of three AI players.
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Hive
Nancy McCourt
http://handkor.googlepages.com/hive%27sprojectpage
This game puts you in the middle of a “hive mind” colony of robotic creatures.
You can’t control the hive, but you can use your individual robot to influence
the colony to attack, defend or harvest resources. To win, master the complex
hive communication system, and build new attack robots to destroy enemy bots.
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iSheep
Markus Jost & Remo Zehnder
http://jost.kicks-ass.org/isheep/index.php
You’re a sheepdog, tasked with herding a flock of AI sheep into a pen. The
challenge is to anticipate the flock’s behavior before they run away. As you
move through the progressive, timed levels, learn to manage speed, direction
changes and distance between animals. Once you master the flock, you win!
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Orblast
John Montemorano
whataboutgameplay.com
Based on the maze arcade games of the early 1980s, Orblast is modernized with AI
innovations. While you run the maze, AI enemies seek out and attack you using a
two-tiered AI system. Train the erratic AI orbs to work with you, not against
you, and you’ll have what it takes to win the game.
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Specimen
Brent Strandy
www.strandyfamily.com/Specimen
You are a scientist researching a new specimen with the hopes of finding a
much-needed cure. Your research partner: An AI who helps you along the way, but
seems to have an alternate agenda. While you breed the specimen, it learns and
adapts—making it harder to control. To win, outsmart the evolving specimen and
your AI to find the cure!
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