Exploring Gameplay With AI Agents
November 16, 2018 Β· Declared Dead Β· π Artificial Intelligence and Interactive Digital Entertainment Conference
"No code URL or promise found in abstract"
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Authors
Fernando de Mesentier Silva, Igor Borovikov, John Kolen, Navid Aghdaie, Kazi Zaman
arXiv ID
1811.06962
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.HC
Citations
19
Venue
Artificial Intelligence and Interactive Digital Entertainment Conference
Last Checked
4 months ago
Abstract
The process of playtesting a game is subjective, expensive and incomplete. In this paper, we present a playtesting approach that explores the game space with automated agents and collects data to answer questions posed by the designers. Rather than have agents interacting with an actual game client, this approach recreates the bare bone mechanics of the game as a separate system. Our agent is able to play in minutes what would take testers days of organic gameplay. The analysis of thousands of game simulations exposed imbalances in game actions, identified inconsequential rewards and evaluated the effectiveness of optional strategic choices. Our test case game, The Sims Mobile, was recently released and the findings shown here influenced design changes that resulted in improved player experience.
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