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In this paper we introduce a group-messaging interface that allows humans to efficiently interact with a group of agents through a hierarchical and customizable text protocol. Our approach is presented in the context of the MAST mobile agent-based framework for security and administration of large scale computer networks. The MAST framework is primarily(More)
We present Shoechicken, an intelligent agent-based system for rating RSS and Atom news content based on user preferences. The system builds a user profile implicitly by observing a user;s interactions with news content. Shoechicken rates incoming content based on the user's preferences, and adapts to both long term and short term changes in these(More)
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