Multiagent Coordination Techniques for Complex Environments: The Case of a Fleet of Combat Ships

The use of agent and multiagent techniques to assist humans in their daily routines has been increasing for many years, notably in command and control C2 systems. In this context, we propose using multiagent planning and coordination techniques for resources management in C2 systems. The particular problem we studied is the design of a decision-support for antiair warfare on combat ships. In this paper, we refer to the specific case of several combat ships defending against incoming threats and where coordination of their respective resources is a complex problem of capital importance. Efficient coordination mechanisms between the different combat ships are then important to avoid redundancy in engagements and inefficient defence caused by the conflicting actions. To this end, we present four different coordination mechanisms based on task sharing. Three of these mechanisms are communication-based: central coordination, contract Net coordination, and ~ Brown coordination, while the last one is a zone defence coordination and is based on conventions. Finally, we present the results obtained while simulating these various mechanisms

[1]  Chou-Yuan Lee,et al.  Efficiently solving general weapon-target assignment problem by genetic algorithms with greedy eugenics , 2003, IEEE Trans. Syst. Man Cybern. Part B.

[2]  Victor R. Lesser,et al.  Decentralized Markov decision processes with event-driven interactions , 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

[3]  Brahim Chaib-draa,et al.  Coordinating Plans for Agents Performing AAW Hardkill and Softkill for Frigates , 2001 .

[4]  Barbara Messing,et al.  An Introduction to MultiAgent Systems , 2002, Künstliche Intell..

[5]  John R. Boyd,et al.  Organic Design for Command and Control , 2005 .

[6]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[7]  Chris Elsaesser,et al.  An architecture for adversarial planning , 1990, IEEE Trans. Syst. Man Cybern..

[8]  Chris Brown Anti-Air Warfare Co-ordination-An Algorithmic Approach , 2000 .

[9]  Kim J. Vicente,et al.  Ecological interface design: theoretical foundations , 1992, IEEE Trans. Syst. Man Cybern..

[10]  Craig Boutilier,et al.  Planning, Learning and Coordination in Multiagent Decision Processes , 1996, TARK.

[11]  Bradley J. Clement,et al.  Continual coordination through shared activities , 2003, AAMAS '03.

[12]  Kevin Crowston,et al.  The interdisciplinary study of coordination , 1994, CSUR.

[13]  Douglas W. Oard,et al.  On the Integrated Scheduling of Hardkill and Softkill Assets Using Dynamic Programming , 1994 .

[14]  Patrick Beaumont Multi-platform coordination and resource management in command and control , 2004 .

[15]  Nicholas R. Jennings,et al.  Coordination techniques for distributed artificial intelligence , 1996 .

[16]  Peter Kropf,et al.  Resource Management in Socio-Technical Systems: A Multi-Agent Coordination Framework , 2000 .

[17]  Edmund H. Durfee,et al.  Scaling Up Agent Coordination Strategies , 2001, Computer.

[18]  Michael Athans,et al.  Command and control (C2) theory: A challenge to control science , 1986 .

[19]  Reid G. Smith,et al.  The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver , 1980, IEEE Transactions on Computers.

[20]  Peter Kropf,et al.  A Method to Optimize Ship Maneuvers for the Coordination of Hardkill and Softkill Weapons within a Frigate , 2002 .

[21]  Robert H. Kewley,et al.  Computational military tactical planning system , 2002, IEEE Trans. Syst. Man Cybern. Part C.

[22]  Peter Norvig,et al.  Artificial intelligence - a modern approach, 2nd Edition , 2003, Prentice Hall series in artificial intelligence.

[23]  Jens Rasmussen,et al.  Information Processing and Human-Machine Interaction , 1986 .

[24]  Milind Tambe,et al.  Taking DCOP to the real world: efficient complete solutions for distributed multi-event scheduling , 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

[25]  H. Van Dyke Parunak,et al.  Representing Agent Interaction Protocols in UML , 2000, AOSE.

[26]  Dimitri P. Bertsekas,et al.  Missile defense and interceptor allocation by neuro-dynamic programming , 2000, IEEE Trans. Syst. Man Cybern. Part A.