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.
| Original language | English |
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| Title of host publication | ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence |
| Pages | 281-287 |
| Number of pages | 7 |
| Volume | 2 |
| Publication status | Published - 2011 |
| Event | 3rd International Conference on Agents and Artificial Intelligence, ICAART 2011 - Rome, Italy Duration: 28 Jan 2011 → 30 Jan 2011 |
Conference
| Conference | 3rd International Conference on Agents and Artificial Intelligence, ICAART 2011 |
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| Country/Territory | Italy |
| City | Rome |
| Period | 28/01/11 → 30/01/11 |
Keywords
- Agent architecture
- Information agents
- Proactive assistant agents
- Probabilistic plan recognition