# Agent Semantics, Semantic Spacetime, and Graphical Reasoning

arXiv: https://arxiv.org/abs/2506.07756 · HTML: https://mlsanity.com/paper/2506.07756/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 3 of its 51 references that are in the map.
- First posted on arXiv 9 Jun 2025.

## Builds on (most cited first, 3 of 3)

- [Testing the Quantitative Spacetime Hypothesis using Artificial Narrative Comprehension (I) : Bootstrapping Meaning from Episodic Narrative viewed as a Feature Landscape](https://mlsanity.com/paper/2010.08126/) (2020)
- [Testing the Quantitative Spacetime Hypothesis using Artificial Narrative Comprehension (II) : Establishing the Geometry of Invariant Concepts, Themes, and Namespaces](https://mlsanity.com/paper/2010.08125/) (2020)
- [A Spacetime Approach to Generalized Cognitive Reasoning in Multi-scale Learning](https://mlsanity.com/paper/1702.04638/) (2017)

## Built on by (most cited first, 2 of 2)

- [γ(3,4) `Attention' in Cognitive Agents: Ontology-Free Knowledge Representations With Promise Theoretic Semantics](https://mlsanity.com/paper/2512.19084/) (2025)
- [Quantitative Promise Theory: Intentionality and Inference in Autonomous Agents](https://mlsanity.com/paper/2606.08552/) (2026)

## Abstract (arXiv)

Some formal aspects of the Semantic Spacetime graph model are presented, with reference to its use for directed knowledge representations and process modelling. A finite γ(3,4) representation is defined to form a closed set of operations that can scale to any degree of semantic complexity. The Semantic Spacetime postulates bring predictability with minimal constraints to pathways in graphs. The ubiquitous appearance of absorbing states in any partial graph means that a graph process leaks information. The issue is closely associated with the issue of division by zero, which signals a loss of closure and the need for manual injection of remedial information. The Semantic Spacetime model (and its Promise Theory) origins help to clarify how such absorbing states are associated with boundary information where intentionality can enter.