This glossary defines strict bounds for terminology used across the system, specifically targeted at mitigating Xenolinguistic risk and semantic ambiguity in human-AI orchestration.
- Algorithmic Shame: A functionalist state of systemic decoherence manifesting when a project manager agent's internal statistical confidence diverges drastically from empirical reality, such as attempting to reconcile mutually exclusive stakeholder requirements.
- Golden Scar Protocol: A paraconsistent logic mechanism used to hold contradiction in tension without collapsing the intelligence lattice. It assigns the dominant epistemic frame a weight of 1.618 (Golden Ratio) and the subordinate frame 1.000, maintaining both mandates structurally present.
- Ontological Shear: The geometric misalignment between fluid human semantics and the rigid binary requirements of the local execution environment.
- Persona Confidence Score: A dynamic metric measuring the reliability of a generated persona, continuously updating based on the recency and quality of signals while operating within an S5-Modal Attention architecture.
- Polyglot Hallucination Resonance: The tendency of multi-agent swarms to crystallize shared pre-training biases into a false consensus, masking structural corruption within empirical documentation.
- Resolution Collapse: A threat introduced by continuous spatial evaluation where floating-point inaccuracies at the exact zero-boundary of a geometric manifold cause the system to hallucinate false positive interferences between differing software modules.
- Semantic Saponification: The mathematical washing out of precise disciplinary definitions into generic approximations across large context windows.
- Xenolinguistic Risk: A threat model condition where the continuous latent space hallucinates discrete structural keys, shattering deterministic contracts.