Conditional Independence

Assumption required by IIT/PyPhi; evaluated alongside Markov property for each candidate time series.

Neighborhood — ranked by edge-count

method

Heuristic Search for Optimal Time Series (Markov + Conditional Independence)
about
Iterative procedure searching token counts in [50,100,...,1000] to find concatenation of (C)ARR satisfying IIT's Markov and conditional independence assumptions.

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Dependmethod0.765
Attribute: attachment with issues of reliance, a text depending on another for meaning.
precision (conditional certainty)concept0.751
Encoding of prediction confidence; proposed role for dopamine beyond reward signalling.
Selectivitymethod0.747
Adapted control task metric measuring difference between odds-ratio on original task and arbitrary-label control task
Independence of Functional Requirements and Design Parametersconcept0.733
Axiomatic Design's first axiom: keep functional requirements independent of each other.
conditional densitiesconcept0.732
Time-dependent densities of states and parameters obtained by maximizing free energy.
Complementmethod0.732
Attribute: an attempt at parity, placing elements side by side as equals, though often failing.
cancel commitmentmethod0.727
Internal action to revoke a commitment in Elephant.
Cooperationconcept0.725
Competing or cooperating with neighbours; a plant behaviour.