Collaborative RPD-enabled agents assisting the three-block challenge in command and control in complex and urban terrain

Xiaocong Fan, Shuang Sun, Bingjun Sun, Guruprasad Airy, Michael McNeese, John Yen, Timothy Hanratty, John Dumer

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

9 Scopus citations

Abstract

One of the challenging issues in the domain of C2 in complex and urban terrain is how to assist human combat staff to effectively collaborate and make decisions under multiple contexts, and to help people switch their attentions to the most urgent decision tasks. This paper describes a comprehensive approach that uses RPD-enabled agents to support timely decision-making under multiple contexts. We introduce the R-CAST decision support system and report our effort of using the R-CAST agent architecture to assist human combat staff in dealing with information challenges in complex and urban terrain. The simulation demonstrates that by modeling the information requirements of the three block challenge as relevant cues and expectancies, R-CAST agents can effectively share relevant information for complex decision situations.

Original languageEnglish (US)
Title of host publicationSimulation Interoperability Standards Organization - 14th Conference on Behavior Representation in Modeling and Simulation 2005
Pages371-381
Number of pages11
StatePublished - 2005
Event14th Conference on Behavior Representation in Modeling and Simulation 2005 - Universal City, CA, United States
Duration: May 16 2005May 19 2005

Publication series

NameSimulation Interoperability Standards Organization - 14th Conference on Behavior Representation in Modeling and Simulation 2005

Other

Other14th Conference on Behavior Representation in Modeling and Simulation 2005
Country/TerritoryUnited States
CityUniversal City, CA
Period5/16/055/19/05

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation

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