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- W4296426300 abstract "Recently, several attempts have been made to train cooperative artificial intelligence (AI). From training superhuman-level agents to human-like agents, the purpose of an AI results in differences in the behavior policy. Indeed, training a human-like agent could enhance the experience of multiplayer game players. However, training human-like agents is challenging and there is little existing work concerning benchmarking cooperative agents with actual humans. As an initial step to address this problem, we suggest a software program and an experimental procedure to conduct Turing tests in multiplayer games. Our contribution will help current multiagent studies benchmark the human-likeness of the agents and investigate their characteristics." @default.
- W4296426300 created "2022-09-20" @default.
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- W4296426300 date "2022-08-21" @default.
- W4296426300 modified "2023-10-02" @default.
- W4296426300 title "Turing Test Framework for Cooperative Games" @default.
- W4296426300 cites W3148143011 @default.
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- W4296426300 doi "https://doi.org/10.1109/cog51982.2022.9893684" @default.
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