Automatic learning and generation of social behavior from collective human gameplay
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
STRIPS: a new approach to the application of theorem proving to problem solving
IJCAI'71 Proceedings of the 2nd international joint conference on Artificial intelligence
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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.