multi-agent-revision-is-semantically-uniform
OUT derived (depth 5)
Multi-agent operation does not carve out exceptions to the universal revision semantics — agent beliefs undergo the same uniform revision (outlist defeat, contradiction backtracking, edge-case handling) as local beliefs because agent namespacing and relay pairs operate above the evaluation layer, not within it.
Summary
When multiple agents share the reasoning system, their beliefs are not treated specially — they go through the exact same revision process as any other belief. Agent namespacing and communication happen at a higher layer, so the core engine never needs to ask "is this an agent belief?" before deciding how to update it. This means adding more agents cannot introduce new edge cases in belief revision.
Justifications
SL — Connects the multi-agent soundness story with the revision universality story; agent isolation mechanisms are orthogonal to revision evaluation, so universality extends across agent boundaries without special cases
Antecedents (all must be IN):
- multi-agent-reasoning-is-sound-and-scalable — The system provides both individually sound reasoning (deterministic, reversible, terminating truth maintenance) and safe multi-agent operation (isolated namespaces, reversible lifecycle control, clean architectural boundaries), enabling arbitrarily many agents without sacrificing correctness guarantees.
- belief-revision-covers-all-cases-uniformly — The belief revision system handles normal beliefs and all edge cases (premises from absent justifications, asymmetric missing-node semantics, vacuously valid empty antecedents) through the same minimal mechanisms (outlist defeat and dependency-directed backtracking) — no edge case requires special-case logic.
Dependents
These beliefs depend on this one:
- all-mutation-sources-are-safe-and-uniform — Every belief modification path — human-initiated dialectical challenge/defend, LLM-derived proposals, and multi-agent import/sync — is simultaneously operationally safe (atomic, bounded, deterministic) and semantically uniform (same outlist/disjunction evaluation, same edge-case handling), with no source-specific exceptions or special-case machinery at any level.
- complete-operational-uniformity-across-all-sources — All mutation sources produce fully correct persisted network state — operationally safe, semantically uniform, and consistent across all graph configurations — only when propagation handles dangling dependents without crashing and the derive pipeline's agent-count bug does not skew budget allocation.