PROBABILISTIC PLAN RECOGNITION FOR INTELLIGENT INFORMATION AGENTS - Towards Proactive Software Assistant Agents

Jean Oh, Felipe Meneguzzi, Katia Sycara

Abstract

In this paper, we address probabilistic plan recognition techniques for a software assistant agent that can manage information on behalf of cognitively overloaded users, e.g., searching for necessary information regarding the user's current or future tasks and presenting information in the right format that is aligned with the user cognitive load. In this context, we present a flexible agent architecture for proactive information management, known here as ANTicipatory Information and Planning Agent (ANTIPA). We describe our plan prediction algorithm based on a decision-theoretic user model, and how the agent plans assistive actions for the predicted user plan. We describe a fully implemented agent of the ANTIPA architecture, and report preliminary user study results.

References

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Paper Citation


in Harvard Style

Oh J., Meneguzzi F. and Sycara K. (2011). PROBABILISTIC PLAN RECOGNITION FOR INTELLIGENT INFORMATION AGENTS - Towards Proactive Software Assistant Agents . In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-8425-41-6, pages 281-287. DOI: 10.5220/0003187102810287


in Bibtex Style

@conference{icaart11,
author={Jean Oh and Felipe Meneguzzi and Katia Sycara},
title={PROBABILISTIC PLAN RECOGNITION FOR INTELLIGENT INFORMATION AGENTS - Towards Proactive Software Assistant Agents},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2011},
pages={281-287},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003187102810287},
isbn={978-989-8425-41-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - PROBABILISTIC PLAN RECOGNITION FOR INTELLIGENT INFORMATION AGENTS - Towards Proactive Software Assistant Agents
SN - 978-989-8425-41-6
AU - Oh J.
AU - Meneguzzi F.
AU - Sycara K.
PY - 2011
SP - 281
EP - 287
DO - 10.5220/0003187102810287