扩展摘要:用问题框架建模可感知解释的环境智能系统

J. Cassens, Anders Kofod-Petersen
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引用次数: 0

摘要

在设计和实现现实世界的环境智能系统时,我们需要适用的信息系统工程方法。这些应该是我们在智能系统领域可以找到的知识工程工具的补充。这里提出的工作重点是解释感知环境智能系统。解释其推理和行为的能力已被确定为任何智能实体的核心能力之一[1]。什么被认为是一个好的解释是上下文相关的问题[2],这导致有必要设计一个环境智能系统的解释能力以及上下文建模。我们以Jackson的问题框架[3]为形式,利用基于模式的方法,将需求引出、分析和规范过程作为目标。可以扩展他的基本问题框架集,以便更好地对领域特定方面进行建模。我们之前曾建议为解释能力提供额外的问题框架[4]。
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Extended Abstract: Modelling Explanation-Aware Ambient Intelligent Systems with Problem Frames
When designing and implementing real world ambient intelligent systems, we are in need of applicable information systems engineering methods. These should supplement the knowledge engineering tools we can find in the intelligent systems area. The work presented here focuses on explanation-aware ambient intelligent systems. The ability to explain it’s reasoning and actions has been identified as one core capability of any intelligent entity [1]. The question of what is considered a good explanation is context dependent [2], leading to the necessity to design the explanatory capabilities of an ambient intelligent system together with the contextual modelling. We target the requirements elicitation, analysis, and specification processes by making use of a pattern-based approach in form of Jackson’s problem frames [3]. His set of basic problem frames can be extended to be better able to model domain specific aspects. We have previously suggested additional problem frames for explanatory capabilities [4].
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