Since the key to artificial general intelligence (AGI) is commonly believed
to be commonsense reasoning (CSR) or, roughly equivalently, discovery of a
knowledge representation method (KRM) that is particularly suitable for CSR,
the author developed a custom KRM for CSR. This novel KRM called Tumbug was
designed to be pictorial in nature because there exists increasing evidence
that the human brain uses some pictorial type of KRM, and no well-known prior
research in AGI has researched this KRM possibility. Tumbug is somewhat similar
to Roger Schank's Conceptual Dependency (CD) theory, but Tumbug is pictorial
and uses about 30 components based on fundamental concepts from the sciences
and human life, in contrast to CD theory, which is textual and uses about 17
components (= 6 Primitive Conceptual Categories + 11 Primitive Acts) based
mainly on human-oriented activities. All the Building Blocks of Tumbug were
found to generalize to only five Basic Building Blocks that exactly correspond
to the three components {O, A, V} of traditional Object-Attribute-Value
representation plus two new components {C, S}, which are Change and System.
Collectively this set of five components, called "SCOVA," seems to be a
universal foundation for all knowledge representation.

人工通用智能（AGI）的关键被普遍认为是常识推理（CSR），或者更精确地说是发现对 CSR 特别适用的知识表示方法（KRM），作者开发了一种定制的 CSR 知识表示方法 Tumbug，这种新颖的 Tumbug 知识表示方法被设计成具有图形性质，因为越来越多的证据表明人脑使用某种图像类型的 KRM，且对于 AGI 领域而言，没有众所周知的关于这种 KRM 可能性的先前研究。Tumbug 与 Roger Schank 的概念依存理论（CD）有些相似，但 Tumbug 具有图形性质，并且基于科学和人类生活的基本概念，使用大约 30 个组件，而 CD 理论基于人类导向的活动，使用大约 17 个组件（= 6 个原始概念类别 + 11 个原始行为）。Tumbug 的所有构建块都归纳为仅对应传统 Object-Attribute-Value 表示的三个组件（O、A、V）以及两个新组件（C、S），它们分别代表变化和系统。总体而言，这一由五个组件组成的集合被称为 “SCOVA”，似乎是所有知识表示的通用基础。