Making the abstraction hierarchy concrete
Making the abstraction hierarchy concrete
复制标题
使抽象层次具体化
DOI：
--
复制
发表时间：
1994
期刊：
影响因子：
--
通讯作者：
K. J. Vicente
中科院分区：
文献类型：
--
作者：
A. Bisantz;K. J. Vicente
抽象层次（AH）是一个多层次的表示框架，包括物理和功能系统模型，它已被提出作为一个有用的框架，用于开发复杂的工作环境的表示。尽管AH在认知工程界广为人知并被广泛引用，但令人惊讶的是，它的应用实例却很少。因此，本文的目的是提供一个具体的例子，如何AH可以作为一个知识表示框架。在热工水力过程的背景下，提出了作为计算机程序基础的AH的正式实例。该系统的模型由相对简单的推理机制补充，该推理机制独立于知识表示中包含的信息。该推理机制使用AH模型，沿着用户关于系统状态的定性输入，为不同类型的事件和问题生成推理轨迹。仿真输出显示AH模型可以提供有效的推理基础，在不同类别的情况下，包括具有挑战性的故障的各种类型。这些详细的例子说明了采用AH作为知识表示框架的各种好处，即：提供足够的表示，以允许推理意外的故障和控制情况，允许使用的推理机制是独立的域信息，并具有心理相关性。
The abstraction hierarchy (AH) is a multileveled representation framework, consisting of physical and functional system models, which has been proposed as a useful framework for developing representations of complex work environments. Despite the fact that the AH is well known and widely cited in the cognitive engineering community, there are surprisingly few examples of its application. Accordingly, the intent of this paper is to provide a concrete example of how the AH can be applied as a knowledge representation framework. A formal instantiation of the AH as the basis for a computer program is presented in the context of a thermal-hydraulic process. This model of the system is complemented by a relatively simple reasoning mechanism which is independent of the information contained in the knowledge representation. This reasoning mechanism uses the AH model, along with qualitative user input about system states, to generate reasoning trajectories for different types of events and problems. Simulation outputs showing how the AH model can provide an effective basis for reasoning under different classes of situations, including challenging faults of various types, are presented. These detailed examples illustrate the various benefits of adopting the AH as a knowledge representation framework, namely: providing sufficient representations to allow reasoning about unanticipated fault and control situations, allowing the use of reasoning mechanisms that are independent of domain information, and having psychological relevance.