We explore developing rich semantic models of systems. Specifically, we consider structured causal explanations about state changes in those systems. Essentially, we are developing process-based dynamic knowledge graphs. As an example, we construct a model of the causal threads for geological changes proposed by the Snowball Earth theory. Further, we describe an early prototype of a graphical interface to present the explanations. Unlike statistical approaches to summarization and explanation such as Large Language Models (LLMs), our approach of direct representation can be inspected and verified directly.
@article{arxiv.2311.11334,
title = {Using Causal Threads to Explain Changes in a Dynamic System},
author = {Robert B. Allen},
journal= {arXiv preprint arXiv:2311.11334},
year = {2023}
}