人工智能中的框架与焦点问题:与信仰者系统相关的讨论

N. S. Sridharan
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引用次数: 1

摘要

关于行动有两种类型的推理——计划和解释。我们使用行为解释的心理学理论来解释观察到的行为序列。解释器使用一个模型空间来维持对观测世界的当前描述。维护模型有两种问题——关于我们对领域的了解的一致性和关于外部可观察世界的正确性。过去对这个问题的讨论主要是关于一致性的问题。保证模型的正确性是一个比较困难的问题,本文提出了一种启发式方法,即利用模型状态检测到的不一致性作为指导,有选择地消除模型状态与可观察世界之间的差异。描述了一个知识表示框架,该框架允许连贯地处理框架问题的各个方面。最后给出了一个例子来说明我们的方法,并给出了系统的规则学习能力。引入了观测者的焦点问题,并证明了它与建模系统的框架问题是互补的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Frame and Focus Problems in AI: Discussion in Relation to the Believer System
There are two types of reasoning about actions - Planning and Interpretation. We are involved in the Interpretation of observed sequences of actions using a psychological theory of act interpretation. The Interpreter uses a model space to maintain a current description of the observational world. There are two kinds of problems in maintaining a model - Consistency with respect to what we know about the domain and Correctness with respect to an external observable world. Past discussions of the problem have dealt mainly with the Issue of consistency. The issue of ensuring correctness is a difficult one and this paper proposes the Heuristic of using the detected inconsistencies of the model state as a guide to selectively removing disparities between the model state and the observable world. A Knowledge Representation Framework is described which allows all aspects of the Frame Problem to be tackled coherently. An example is given to illustrate our approach and an indication of the rule learning capability of the system Is given. The Focus problem for the Observer is introduced and Is shown to be complementary to the Frame Problem for the modelling system.
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