Capturing and generating social behavior with the restaurant game

AAMAS(2010)

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摘要
The Restaurant Game demonstrates an end-to-end system that captures and generates social behavior for virtual agents. Over 15,000 people have played The Restaurant Game, and we have developed a system to automatically learn patterns of interaction and dialogue from logs of their gameplay sessions. These patterns guide a case-based planning system, which generates behavior and dialogue for a virtual customer or waitress who can interact with a human, or with another agent. The Restaurant Game demonstrates a first step toward empowering non-programmers to realize socially intelligent characters for a wide range of applications.
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关键词
virtual agent,end-to-end system,virtual customer,gameplay session,restaurant game,social behavior,wide range,case-based planning system,intelligent character,virtual environment,natural language,social simulation,social intelligence
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