Formal semantics and communication strategies for proactive information delivery among team-based agents

Effective human teams often benefit from proactivity through members’ capability of anticipating different needs of teammates. In this paper, we focus on three issues related to the behavior of proactive information delivery. Two types of information needs are identified, the intentional semantics of ProInform is given, and priliminary experiments are carried out to study how different strategies for choosing ProInform impact team performance. The work presented in this paper provide a sound and practical framework that enables further studies regarding proactive information delivery. Categories and Subject Descriptors I.2.11 [Artificial Intelligence]: Distributed Artificial Intelligence—Multiagent Systems General Terms Theory, Experimentation Keywords Shared Mental Model, Proactive Information Delivery

• Type: Conference
• Year: 2003
• Where: ATAL
• Authors: John Yen, Xiaocong Fan, Shuang Sun, Rui Wang, Cong Chen, Kaivan Kamali, Michael S. Miller, Richard A. Volz
• Keywords: ATAL 2003, Effective Human Teams, Proactive Information Delivery, ProInform Impact Team