Human-agent teamwork for distributed team training

被引：0

作者：

Xu, DZ ^{[1
]}

Volz, RA ^{[1
]}

Miller, MS ^{[1
]}

Plymale, J ^{[1
]}

机构：

[1] N Dakota State Univ, Dept Comp Sci, Fargo, ND 58105 USA

来源：

15TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2003年

关键词：

multi-agent systems; teamwork; human-agent; teams; team training;

D O I：

10.1109/TAI.2003.1250247

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an approach to human-agent mixed teams for distributed team training, demonstrated through the integration of the domain independent multi-agent architecture CAST with the military command-and-control simulation software DDD (Distributed Dynamic Decision-making). We extend the CAST architecture in a way such that agents can replace any number of teammates on a DDD team. To capture the overall picture of teamwork, we explore the MALLET language in CAST for the specification of team structures and processes that involve both humans and agents.

引用

页码：602 / 607

页数：6

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