Learning Interface Agents

9205668梅斯这是三年持续奖助金的第三年资助。智能界面代理是采用人工智能和其他技术的计算机程序，以便为处理特定计算机应用程序的用户提供专业的、自主的帮助。本研究解决了学习作为一种方法的问题，通过这种方法，代理可以获得关于用户、应用程序以及能够授权用户的通信和协作策略的足够数量的信息。这个项目的目标是为这个假设找到必要和充分的条件，使接口代理能够获得它自己编程所需的信息。为代理提供最少的背景知识，并通过观察用户与应用程序的交互、接收用户关于某些规则的反馈以及复制代理在同一应用程序中协助其他用户所使用的情境操作规则来学习适当的情境操作规则。该项目将首先开发用于构建学习接口代理的通用架构。然后用具体的例子来检验主要假设。

9205668 Maes This is the third year funding of a three-year continuing grant. Intelligent interface agents are computer programs that employ artificial intelligence and other techniques in order to provide expert, autonomous assistance to a user dealing with particular computer applications. This research addresses the question of learning as a method by which an agent can acquire sufficient amounts of information about the user, the application, and the communication and collaboration strategies to be able to empower the user. The goal of this project is to find the necessary and sufficient conditions for the hypothesis to hold that an interface agent can be given access to the information it needs to program itself. The agent is given a minimum of background knowledge and learns appropriate situation-action rules by observing the user's interaction with the application, by receiving feedback from the user about certain rules, and by copying the situation-action rules employed by agents assisting other users in the same application. The project will first develop a generic architecture for building learning interface agents. This will then be used in concrete examples to test the main hypothesis.