论文标题
SP智力理论及其在SP计算机模型中的实现中的透明度和粒度
Transparency and granularity in the SP Theory of Intelligence and its realisation in the SP Computer Model
论文作者
论文摘要
本章介绍了SP系统（含义SP的智力理论及其作为SP计算机模型）如何促进AI中的透明度和粒度，以及其他一些应用领域。本章介绍了如何通过三个路线实现SP计算机模型的工作和输出的透明度：1）该程序为识别，推理，语言分析等过程提供了非常完整的审核跟踪。对于无监督的新知识学习，还有一条明确的审计跟踪。 2）系统中的知识可能是颗粒状的，人们容易理解； 3）有七个有关知识组织的原则，这些原则在SP系统的运作中至关重要，并且对人们也非常熟悉（例如，编码，部分整体层次结构和班级包含层次结构），并且在系统结构上构成了知识的这种熟悉程度，可能在解释性中很重要，可以解释能力，并解释知识，并透明度差异。在整章中显示了SP计算机模型的示例。
This chapter describes how the SP System, meaning the SP Theory of Intelligence, and its realisation as the SP Computer Model, may promote transparency and granularity in AI, and some other areas of application. The chapter describes how transparency in the workings and output of the SP Computer Model may be achieved via three routes: 1) the program provides a very full audit trail for such processes as recognition, reasoning, analysis of language, and so on. There is also an explicit audit trail for the unsupervised learning of new knowledge; 2) knowledge from the system is likely to be granular and easy for people to understand; and 3) there are seven principles for the organisation of knowledge which are central in the workings of the SP System and also very familiar to people (eg chunking-with-codes, part-whole hierarchies, and class-inclusion hierarchies), and that kind of familiarity in the way knowledge is structured by the system, is likely to be important in the interpretability, explainability, and transparency of that knowledge. Examples from the SP Computer Model are shown throughout the chapter.
