ANTIPA: An agent architecture for intelligent information assistance

Jean Oh*, Felipe Meneguzzi, Katia Sycara

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

8 Citations (Scopus)


Human users trying to plan and accomplish information-dependent 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 time-critical 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 relevant to the current or future planning decisions. This paper introduces a fully implemented agent of the ANTIPA architecture using a decision-theoretic user model.

Original languageEnglish
Title of host publicationECAI 2010
PublisherIOS Press
Number of pages2
ISBN (Print)9781607506058
Publication statusPublished - 2010
Externally publishedYes
Event2nd Workshop on Knowledge Representation for Health Care, KR4HC 2010: held in conjunction with the 19th European Conference in Artificial Intelligence, ECAI 2010 - Lisbon, Portugal
Duration: 17 Aug 201017 Aug 2010

Publication series

NameFrontiers in Artificial Intelligence and Applications


Conference2nd Workshop on Knowledge Representation for Health Care, KR4HC 2010


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