Authoring behavior narratives for heterogeneous multiagent virtual humans engaged in collaborative, localized, and task‐based behaviors can be challenging. Traditional behavior authoring frameworks are either space‐centric, where occupancy parameters are specified; behavior‐centric, where multiagent behaviors are defined; or agent‐centric, where desires and intentions drive agents' behavior. In this paper, we propose to integrate these approaches into a unique framework to author behavior narratives that progressively satisfy time‐varying building‐level occupancy specifications, room‐level behavior distributions, and agent‐level motivations using a prioritized resource allocation system. This approach can generate progressively more complex and plausible narratives that satisfy spatial, behavioral, and social constraints. Possible applications of this system involve computer gaming and decision‐making in engineering and architectural design.

中文翻译：

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耦合代理动机和空间行为以创作多代理叙事

为参与协作、本地化和基于任务的行为的异构多智能体虚拟人创作行为叙述可能具有挑战性。传统的行为创作框架要么以空间为中心，要么指定占用参数；以行为为中心，定义多代理行为；或以代理为中心，其中欲望和意图驱动代理的行为。在本文中，我们建议将这些方法整合到一个独特的框架中，以使用优先资源分配系统来编写行为叙述，这些叙述逐渐满足随时间变化的建筑物级别的占用规范、房间级别的行为分布和代理级别的动机。这种方法可以逐渐生成满足空间、行为和社会约束的更复杂、更合理的叙述。