Probabilistic plan recognition for intelligent information agents
Conference Paper, Proceedings of 3rd International Conference on Agents and Artificial Intelligence (ICAART '11), Vol. 1, pp. 281 - 287, January, 2011
Abstract
In this paper, we present a software assistant agent that can proactively manage information on behalf of cognitively overloaded users. We develop an agent architecture, known here as ANTicipatory Information and Planning Agent (ANTIPA), to provide the user with relevant information in a timely manner. In order both to recognize user plans unobtmsively and to reason about time constraints, 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.
BibTeX
@conference{Oh-2011-113144,author = {J. Oh and F. Meneguzzi and K. Sycara},
title = {Probabilistic plan recognition for intelligent information agents},
booktitle = {Proceedings of 3rd International Conference on Agents and Artificial Intelligence (ICAART '11)},
year = {2011},
month = {January},
volume = {1},
pages = {281 - 287},
}
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