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This paper presents a decentralized method for autonomously directing the movement of troops or battlefield robots from areas where their capabilities are being underutilized to areas where they are needed. This technique, which relies on limited message passing, does not require a centralized controller and is thus well suited to the battlefield environment where natural or deliberately created conditions may limit communications or render a centralized controller inaccessible. The Colonel Blotto Game (simulation scenario) is extended to provide a testing framework for Intelligent Water Drops (IWD)-derivative methods. The performance of the conventional approach to the Colonel Blotto Game is characterized in application to this extended scenario. Then, an IWD approach is presented and its performance is compared to the conventional method. The IWD approach is shown to outperform the conventional approach, from a gameplay perspective, while having significantly greater processing costs. Finally, the performance of an extended approach, which plays out possibilities for the remainder of the game multiple times before making a decision, is compared with an approach based on making the best decision in the short term without extended network information. The gameplay utility of this extended solver is not demonstrated, despite it having significantly higher computational costs.
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- Use of Intelligent Water Drops (IWD) for Intelligent Autonomous Force Deployment
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