Collaborative RPD-Enabled Agents Assisting the Three-Block Challenge in Command and Control in Complex and Urban Terrain
نویسندگان
چکیده
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.
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