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Coalition Agents Experiment: Multi-Agent Co-operation in an International Coalition Setting

By D.N Allsopp, P Beautement, J M Bradshaw, E H Durfee, M Kirton, C.A Knoblock, N Suri, Austin Tate and C W Thompson


The University of Edinburgh and research sponsors are authorised to reproduce and distribute reprints and on-line copies for their purposes notwithstanding any copyright annotation hereon. The views and conclusions contained herein are the author’s and shouldn’t be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of other parties.Military coalitions are examples of large-scale, multi-faceted, virtual organizations, which sometimes need to be rapidly created and flexibly changed as circumstances alter. The Coalition Agents Experiment (CoAX) aims to show that multiagent systems are an effective way of dealing with the complexity of real-world problems, such as agile and robust coalition operations and enabling interoperability between heterogeneous components, including legacy and actual military systems. CoAX is an international collaboration carried out under the auspices of DARPA's Control of Agent-Based Systems (CoABS) program. Building on the CoABS Grid framework, the CoAX agent infrastructure groups agents into domains that reflect real-world organizational, functional, and national boundaries, such that security and access to agents and information can be governed by policies at multiple levels. A series of staged demonstrations of increased complexity are being conducted in a stylized yet realistic peace-enforcement scenario taking place in 2012 in the fictitious African state of Binni. These demonstrations show how agent technologies support the rapid, coordinated construction of a coalition command system for intelligence gathering, for visualization, and for campaign, battle, and mission planning and execution

Topics: Informatics, Computer Science, infrastructure, integration, interoperability, coalition, military, multiagent systems, software agents, Artificial Intelligence Applications Institute
Publisher: IEEE Computer Society
Year: 2002
OAI identifier:

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