On need-driven proactive information exchanges in agent teams

John Yen, Xiaocong Fan, Richard A. Volz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Members of high-performing human teams can often anticipate information needs of teammates and offer relevant information to them proactively. Such capabilities are highly desirable for agent teams to achieve better teamwork processes for supporting information gathering, information fusion, and decision makings of teammates. This paper presents a framework for formally specifying proactive agent behaviors based on the SharedPlan theory. Axioms that specify an agent's anticipations of a teammate's information needs are proposed, which enable the teammate to perform an action or protect the teammate from a threat. We also introduce the semantics of two proactive communicative actions (i.e., proactive inform and third party subscribe) that are driven by information needs of teammates. Based on these semantics, we show that suitable proactive information delivery actions can be derived in the proposed framework. This paper thus establishes a formal foundation for proactive information delivery behavior that not only provides better understanding of the underlying assumptions required to justify the behavior, but also provides a coherent basis for the specification and design of agent teams with proactive information delivery capabilities.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE/WIC International Conference on Intelligent Agent Technology, IAT'03
Pages350-356
Number of pages7
StatePublished - 2003
Event2003 IEEE/WIC International Joint Conference on Intelligent Agent Technology and Web Intelligence, IAT'03 and WI'03 - Halifax, NS, Canada
Duration: Oct 13 2003Oct 17 2003

Publication series

NameProceedings - IEEE/WIC International Conference on Intelligent Agent Technology, IAT'03

Other

Other2003 IEEE/WIC International Joint Conference on Intelligent Agent Technology and Web Intelligence, IAT'03 and WI'03
Country/TerritoryCanada
CityHalifax, NS
Period10/13/0310/17/03

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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