Personalized information dissemination using agents organizations

The multi-agent system described in this paper implements a collaborative filtering process that applies personalization techniques to measure the appropriateness of a document for a community of users. Collaborations among agents and users are defined in a workflow that describes the broadcasting of documents, which flow through a series of filters at different levels (community agents, personal agents, and users). With this system we demonstrate that a workflow definition (roles, tasks, and their relationships) is a key component for the specification of the multi-agent system organization, improves the design of agents interactions and coordination, and supports the identification of agents´ goals and tasks. Furthermore, we discuss social rules that can be used to control the global behavior of the community of agents.