pyphi.resolve_ties.resolve_ac_causal_link_tie

pyphi.resolve_ties.resolve_ac_causal_link_tie(rias, *, context)

Resolve a causal-link tie per the 2019 AC paper Definition 1.

Three-step cascade:

1. Information: argmax over alpha selects candidates at alpha_max.

2. Exclusion: minimality filter drops any candidate whose purview is a strict superset of another tied candidate’s — no actual cause contains another actual cause as a strict subset.

3. Determinism (pyphi canonicalization): when multiple minimal candidates remain (genuine symmetric over-determination per Def. 1 outcome 2), pick the lex-smallest purview as the representative; the full minimal set is the tied set.

A surviving tied set of size > 1 signals an “indeterminate” actual cause in paper terms; the cascade outcome is UNRESOLVED_WITHIN_BUDGET with tied_set carrying every minimal candidate.

Parameters:

• rias (Iterable)

• context (ResolutionContext)

Return type:

CascadeOutcome