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concept:deterministic-causal-modelDeterministic Causal Model
Formal representation of algorithms as directed acyclic graphs computing functions f_A
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Nonlinear models of brain dynamics that can be inverted via DEM.
- Component of EI measuring how uniquely the current state determines the future state.
- Consists of input, intermediate, and output variables with associated causal mechanisms; the mathematical object central to DAS.
- Whether an internal direction causally controls a target behavior, verified by intervention success
- Amplification of small differences in initial conditions; cited as a property that future autonomous machines will share with living systems
- The extent to which a probe direction, when intervened upon, actually changes model outputs — contrasted with mere classification accuracy
- Function determining the value of a variable based on its causal parents in an acyclic causal model.
- A framework the paper uses alongside feature geometry to deepen mechanistic understanding of LMs