ANTIPA: an agent architecture for intelligent information assistance

Abstract. Human users trying to plan and accomplish informationdependent goals in highly dynamic environments with prevalent uncertainty must consult various types of information sources in their decision-making processes while the information requirements change as they plan and re-plan. When the users must make timecritical decisions in information-intensive tasks they become cognitively overloaded not only by the planning activities but also by the information-gathering activities at various points in the planning process. We have developed the ANTicipatory Information and Planning Agent (ANTIPA) to manage information adaptively in order to mitigate user cognitive overload. To this end, the agent brings information to the user as a result of user requests but most crucially, it proactively predicts the user's prospective information needs by recognizing the user's plan; pre-fetches information that is likely to be used in the future; and offers the information when it is r...

• Type: Conference
• Year: 2010
• Where: ECAI
• Authors: Jean Oh, Felipe Meneguzzi, Katia P. Sycara
• Keywords: Artificial Intelligence, ECAI 2010, Information, Planning, User