UTˆ2: Human-like Behavior via Neuroevolution of Combat Behavior and Replay of Human Traces

Item

Title
UTˆ2: Human-like Behavior via Neuroevolution of Combat Behavior and Replay of Human Traces
Description
This is an Accepted Manuscript of an article published by IEEE. Schrum, J., Karpov, I. V., & Miikkulainen, R. (2011). UTˆ2: Human-like behavior via neuroevolution of combat behavior and replay of human traces. In 2011 IEEE Conference on Computational Intelligence and Games (CIG’11) (pp. 329–336). https://doi.org/10.1109/CIG.2011.6032024
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Creator
Schrum, Jacob
Karpov, Igor V.
Miikkulainen, Risto
Date
2016-12-15
Date Available
2016-12-15
Date Issued
2011
Identifier
Schrum, J., Karpov, I. V., & Miikkulainen, R. (2011). UTˆ2: Human-like behavior via neuroevolution of combat behavior and replay of human traces. In 2011 IEEE Conference on Computational Intelligence and Games (CIG’11) (pp. 329–336). https://doi.org/10.1109/CIG.2011.6032024
Abstract
The UT^2 bot, which had a humanness rating of 27.2727% in BotPrize 2010, is based on two core ideas: (1) multiobjective neuroevolution is used to learn skilled combat behavior, but filters on the available combat actions ensure that the behavior is still human-like despite being evolved for performance, and (2) a database of traces of human play is used to help the bot get unstuck when its navigation capabilities fail. Several changes have recently been made to UT^2: Extra input features have been provided to the bot to help it evolve better combat behavior, the role of human traces in the navigation of the bot has been expanded, and an extra control module has been added which encourages the bot to observe other players the way a human would, rather than simply battle them. These changes should make UT^2 act more human-like in this year's BotPrize competition.
Language
en_US
Publisher
IEEE
Subject
UT^2 bot
Neuroevolution
Computational intelligence
Computer games
Humanoid robots
Type
Article
uri
https://collections.southwestern.edu/s/suscholar/item/218