@INPROCEEDINGS{Oh2011,
  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 Third International 
	Conference on Agents and Artificial Intelligence},
  year = {2011},
  pages = {281--287},
  abstract = {In this paper, we present a software assistant agent that can \emph{proactively} manage information on behalf of cognitively overloaded users. We develop an agent architecture, known here as ANTicipatory Information and Planning Agent (\emph{ANTIPA}), to provide the user with relevant information in a timely manner. In order both to recognize user plans unobtrusively and to reason about time constraints, \emph{ANTIPA} integrates probabilistic plan recognition with constraint-based information gathering. This paper focuses on our probabilistic plan prediction algorithm inspired by a decision theory that human users make decisions based on long-term outcomes. A proof of concept user study shows a promising result.},
  file = {:http\://www.meneguzzi.eu/felipe/pubs/icaart-2011.pdf:PDF},
  owner = {meneguzz},
  timestamp = {2010.10.31},
  url = {http://www.meneguzzi.eu/felipe/pubs/icaart-2011.pdf}
}