Learning Interface Agents

9205668 Maes这是三年持续赠款的第三年资助。智能接口代理是采用人工智能和其他技术以便向处理特定计算机应用的用户提供专家的、自主的帮助的计算机程序。本研究将学习作为一种方法来解决这个问题，通过这种方法，代理可以获得关于用户、应用程序以及通信和协作策略的足够数量的信息，从而能够增强用户的能力。这个项目的目标是找到假设成立的充要条件，即界面代理可以被给予访问它自己编程所需的信息。通过观察用户与应用程序的交互，通过从用户接收关于某些规则的反馈，以及通过复制帮助同一应用程序中的其他用户的代理所使用的情景-动作规则，代理被给予最少的背景知识并学习适当的情景-动作规则。该项目将首先开发一个用于构建学习接口代理的通用体系结构。这将被用在具体的例子中来检验主要的假设。

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.