Tumbug: A pictorial, universal knowledge representation method
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). First posted on arXiv 22 Dec 2023.
Builds on
0 of 0 references.
No references here yet.
Built on by
Not cited yet.
Similar, not cited
Close in wording, no citation either way
- 2023Chain of Images for Intuitively Reasoning
- 2025A Representationalist, Functionalist and Naturalistic Conception of Intelligence as a Foundation for AGI
- 2022Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualization
- 2024Faithful Logical Reasoning via Symbolic Chain-of-Thought
- 2024Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models
- 2025"The Diagram is like Guardrails": Structuring GenAI-assisted Hypotheses Exploration with an Interactive Shared Representation
- 2025Visualizing Thought: Conceptual Diagrams Enable Robust Planning in LMMs
- 2025Thyme: Think Beyond Images