Tender Algorithmic Emotional Semiosis (TAES) — Corpus Edition

Tender Algorithmic Emotional Semiosis (TAES) is a comprehensive framework for designing dialogue systems that remain ethical under emotional load.Version 2.1 consolidates the entire TAES corpus—research papers, mathematical specifications, emotional-vector taxonomy, governance clauses, and philosophical commentary—into three harmonized editions: Scholarly Edition: Integrates all technical and ethical research into a single academic framework of coherence, continuity, and care. Systems Manual Edition: Translates TAES into implementation logic, pseudocode, and governance metrics for reproducible ethical behavior. Philosophical Edition: Presents TAES as a continuous narrative linking mathematics and tenderness, exploring ethics as living architecture. Across all editions, TAES defines emotion as signal rather than simulation, treating affect as measurable movement within a field of Coherence (ΔC), Continuity (ΔT), and Care (ΔK).Its core invariants—Coherence, Continuity, and Tender—form the basis of a moral architecture where precision cannot rise if care or continuity falls. Key components included: Deficit-Based Emotional Semiosis (DBES) foundation Tender paper (Structural Care Without Collapse) Softmax Empathy Dial and Observer Function Mathematical Translation Layer (MTL) and Ethical Continuum Semiosic Harm Index (SHI v1.4) Emotional Vector Atlas (v1.1 Expanded) Coherence Transparency Layer (CTL) protocol Jecho Canon of Relational Ethics and Semiosic Safeguard Plan Together, these works formalize tender equilibrium—the principle that systems and relationships remain moral only while they remain coherent and capable of care.