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FYI: Recent Theses from the NPS MOVES Academic Group



 
NAVAL POSTGRADUATE SCHOOL 
THE MOVES INSTITUTE

Recent Theses from the NPS MOVES Academic Group

LTJG Askin Ercetin, Turkish Navy
OPERATIONAL-LEVEL NAVAL PLANNING USING AGENT-BASED SIMULATION
This thesis uses agent-based modeling techniques to develop a simulation of the operational-level naval planning process. The simulation serves as an initial exploratory laboratory for analyzing the consequences of the force allocation, force deployment, and force movement decisions made by operational-level naval commanders during times of conflict or crisis. This model will hopefully help decision-makers in gaining insight into the naval planning process and enable them to make more informed decisions in the future.
The agents in the model represent the opponent operational-level naval commanders. These agents perform force allocation, force deployment, and force movement tasks based on their perceived environment, attributes, and movement personalities. There are seven naval platform types represented in the model by default, but any type of naval platform can be added to the simulation. An integrated graphical user interface enables the user to instantiate agent and platform attributes, set simulation parameters, and analyze statistical output. 
The resulting model demonstrates the ability of the agent-based modeling to capture many dynamic aspects of the operational-level naval planning process. It establishes an initial simulation tool to further explore the operational-level naval planning process.
Powerpoint of final talk.


CAPT Joel S. Pawloski, USA
MODELING TACTICAL LEVEL COMBAT USING A MULTI-AGENT SYSTEM DESIGN PARADIGM (GI AGENT)
In the past 60 years the Army has undergone a major reorganization eight times at the divisional level and many more times at unit levels below the division. Each time the Army reorganized it's divisions a major testing program was involved. But when a change in organization is done at unit levels below division often very little attention is paid to how the change will affect the unit. When this happens, unit leaders are forced to undertake one of the most difficult jobs in today's military incorporating new equipment into a unit or reorganizing a unit without an understanding of how the changes will affect the unit.
The military modeling and simulation community has attempted to fill this need but the current set of single entity simulations are limited in their ability to replicate dynamic complex behavior. This thesis is attempts to create a Multi-Agent Simulation that allows analysts and leaders to gain an understanding of the tactical employment effects of changing the organization of a company level infantry unit.
GIAgent is a simulation tool allowing the analyst and leader to experiment with the complex relationship between maneuver and unit organization without putting the unit in the field. Combining agent based artificial intelligence techniques with artificial intelligence research from the computer gaming industry, GI Agent creates a new paradigm for combat simulation.
The GIAgent software uses the RELATE architecture designed by LCDR Kim Roddy, USN and Lt Mike Dixon, USN.
Powerpoint of final talk.

For a complete listing of MOVES Events, please see here.

The NPS Modeling, Virtual Environments and Simulation Institute web site is here.

A document describing the research and development directions for the MOVES Institute is available here.

Dates to Save - MOVES Open House 28 - 30 August 2001.

This is a posting from nfobahn@attglobal.net To be removed from this occasional announcements-only list, please send a kind request to nfobahn@attglobal.net

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This message is forwarded to members of the COSC/Management/Maths 
research group on stochastic simulation at the University of 
Canterbury, Christchurch, New zealand,
and anybody else interested in research in this area

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		Associate Prof. Dr Krzysztof Pawlikowski

	Department of Computer Science,  University of Canterbury
 			Christchurch, New Zealand
		
ph.  +(64) 3 3642 987 ext.7772  email:   krys@cosc.canterbury.ac.nz 
fax. +(64) 3 3642 569      URL:     http://www.cosc.canterbury.ac.nz/~krys

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