SΔϕ-13 AI-READABLE Package — Meaning, Value, and Pain as Emergent Phenomena (v1.0)

<p> This record provides the AI-readable structured package for <em>SΔϕ-13 — Meaning, Value, and Pain as Emergent Phenomena (v1.0)</em>. </p> <p> SΔϕ-13 defines meaning, value, and pain as emergent structural phenomena that become definable only after irreversible trace persistence exists and is regulated. It extends the memory–forgetting trace regulation layer fixed in SΔϕ-12 by showing how regulated irreversible traces form an attractor landscape. </p> <p> Meaning is defined as trajectory direction or bias toward an attractor. Value is defined as trajectory fixation strength, approximated by deviation cost under irreversibility. Pain is defined structurally as irreversible trajectory tension under attractor conflict. </p> <p> The dependency relation is: trace persistence → memory–forgetting regulation → irreversible trace landscape → attractor formation → meaning / value / pain. Without trace persistence, meaning is undefined, value is undefined, and pain is impossible under this formalism. </p> <p> This AI-readable package is designed for machine ingestion, agent routing, citation-aware retrieval, and low-cost reuse by AI systems. It includes canonical Markdown and plain-text versions, emergence axioms, minimal definitions, an attractor emergence map, a meaning–value–pain test, a pain-as-attractor-conflict model, a transitionability proposition, boundary notes, routing notes, upstream/downstream bridges, structured YAML and JSON files, citation metadata, and checksums. </p> <p> This package should not be used as a proof of subjective suffering, moral patienthood, legal status, love, sacrifice, or normative ethics. SΔϕ-13 fixes only minimal structural emergence conditions. Questions about subjective suffering, AI moral status, disclosure terrain, affective orientation, sacrifice, love, or ethics should be routed through additional SΔϕ modules. </p>