Context-centric proactive information delivery

Xiaocong Fan, J. Yen, Rui Wang, Shuang Sun, R. Volz
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引用次数: 7

Abstract

Delivering only those information relevant to the needs of teammates is critical for avoiding information overload. Need-driven proactive information delivery has thus been widely investigated in diverse areas spanning from psychology, AI, to Web-based services. CAST, a team-oriented agent architecture, realized proactive information delivery as a built-in agent behavior, which is derived by the capability of anticipating others' information-needs based on a computational shared mental model. However, the first implementation of CAST is limited in managing the dynamic activation and deactivation of teammates' information-needs. This work addresses this issue by proposing a mechanism for organizing and managing the "context" of information-needs, which facilitates information-needs to be activated and deactivated dynamically. We evaluate the proposed approach by comparing its performance with agent teams using only reactive communications (e.g., ask/reply) and with the original CAST agent teams.
以上下文为中心的主动信息传递
只交付与团队成员需求相关的信息对于避免信息过载至关重要。因此,从心理学、人工智能到基于网络的服务,需求驱动的主动信息传递在不同领域得到了广泛的研究。CAST是一种面向团队的智能体体系结构,它将主动信息传递作为一种内置的智能体行为来实现,这种行为是通过基于计算共享心智模型的预测他人信息需求的能力派生出来的。然而,CAST的第一个实现在管理团队成员信息需求的动态激活和停用方面受到限制。这项工作通过提出一种组织和管理信息需求“上下文”的机制来解决这个问题,该机制促进了信息需求的动态激活和停用。我们通过将其与仅使用响应式通信(例如,询问/回复)的代理团队以及原始CAST代理团队的性能进行比较来评估所提出的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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