| name | 0.1.3-understand-causal_inference |
| description | [0.1.3] reasoning about cause-effect relationships enabling prediction of consequences given observed causes |
understand-causal_inference
CALL NUMBER: knowledge_graphs_and_ontologies.causal_inference
DEFINITION: reasoning about cause-effect relationships enabling prediction of consequences given observed causes
Invoke this skill to understand causal_inference down to its primitives. The RELATIVE ROOT below is the least-fixed-point closure of everything it bundles from — the full import cone, grouped by the lib each prim comes from. Projected from a prover-typed KB (MAP/SWI-Prolog consistency gate): every reference below resolves.
THE RELATIVE ROOT (the import cone, by lib)
from knowledge_graphs_and_ontologies
- counterfactual_reasoning (d1): reasoning about hypothetical alternative scenarios and their outcomes differing from actual observed events
CONSUMERS (what needs this)
counterfactual_reasoning
Projected from the knowledge graphs and ontologies KB (177 concepts / 20 relations) — consistency-typed by MAP; the facet list after the colon IS the cross-lib dependency web.
(leaf — this is an actual skill.)