Event-Logic Graph
Updated 2026-08-10
INTRODUCTION
English translation pending.
CORE DEFINITION
Visualizing the logical relations between events, the cause, the time order, and the condition, as a graph structure. As a scaffold it is the visualization of complex causal relations: when causality is tangled and interwoven, a graph is far easier to read for the whole picture than any page of prose.
SCAFFOLDING EFFECT
Reduce cognitive load
- Node list: name the key events that will serve as the nodes of the graph. - Edge label: mark each tie as cause, as precede, or as require. - Graph read: walk the graph for the critical path and the loops it holds.
Anchor fast decisions
Nodes stand for events and directed edges for logical relations like cause, time order, and condition, which brings the hidden causal web out into a computable, queryable structure. The system can then do causal reasoning, event prediction, and counterfactual what-if on the graph.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/Knowledge_graphverified
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