Probabilistic Plan Recognition for Intelligent Information Agents - Towards Proactive Software Assistant Agents
Probabilistic Plan Recognition for Intelligent Information Agents - Towards Proactive Software Assistant Agents
复制标题
智能信息代理的概率计划识别 - 迈向主动软件助理代理
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
K. Sycara
中科院分区：
文献类型：
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作者：
Jean Oh;Felipe Meneguzzi;K. Sycara
在本文中，我们提出了一个软件助理代理，可以代表认知超载的用户主动管理信息。我们开发了一个代理体系结构，在这里被称为ANTICIPATIONAL信息和规划代理（ANTIPA），用于识别用户计划在一个不显眼的方式和推理的时间限制，在正确的时间提供相关的信息。ANTIPA将概率计划识别与基于约束的信息收集集成在一起。本文重点介绍了我们的概率计划预测算法的启发决策理论，人类的决策是基于长期的结果。用户研究的概念证明显示了一个有希望的结果。
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), for recognizing user plan in an unobtrusive manner and reasoning about time constraints to provide relevant information at a right time. 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 decision making is based on long-term outcomes. A proof of concept user study shows a promising result.