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Title: Dynamic Agent Systems in the CoAX Binni 2002 Experiment
Authors: Wark, S
Zschorn, A
Perugini, D
Tate, Austin
Beautement, P
Bradshaw, J M
Suri, N
Issue Date: Jul-2003
Citation: Wark, S., Zschorn, A., Perugini, D., Tate, A., Beautement, P., Bradshaw, J.M. and Suri, N. (2003) Dynamic Agent Systems in the CoAX Binni 2002 Experiment, Special Session on Fusion by Distributed Cooperative Agents at the 6th International Conference on Information Fusion (Fusion 2003), Cairns, Australia, July, 2003
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Abstract: The goal of the international CoAX (Coalition Agents eXperiment) program was to demonstrate how agent systems could be used to provide agile and flexible command and control systems for coalition operations, and facilitate rapid integration of national C2 systems. The CoAX experiments modelled a coalition C4ISR system as a distributed, heterogeneous agent network using the DARPA CoABS (Control of Agent Based Systems) Grid infrastructure based on Java JINI technology. This paper outlines the CoAX Binni experiment which was held in October 2002 at the US Naval Warfare College, Newport RI. It describes the technology used in this experiment and the role of the ATTITUDE multi-agent architecture in the Australian component of the experiment. This involved logistics planning (and dynamic replanning) for a casualty evacuation from an Australian ship using BDI agents developed in the ATTITUDE architecture, and included interactions with Coalition medical and planning agents. Distributed agents were used to represent the various organisational entities involved in a simplified logistics model, and agent interactions with the Coalition C4ISR system were mediated by human operators using I-X Process Panels. This provided a semi-autonomous system, where human approval initiated further autonomous interactions between Coalition and Australian agents.
Description: 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.
Keywords: Informatics
Computer Science
data fusion
command and control
resource management
agent systems
Artificial Intelligence Applications Institute
ISBN: 0-9721844-4-9
Appears in Collections:Informatics Publications

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