The SEAM Model v1.0 — A Unified Sensation–Temporal Model of the Present and its Code-Level Clinical & Entity Laboratory

SEAM (Sensation-based Emergent Architecture of Mind) is a fourteen-year-old theoretical–simulation model that asks how the current near-conscious state is organized from the joint operation of multiple layers — exteroceptive, interoceptive, endogenous, temporal and mnemonic — into a single composite present-film. Its central thesis: consciousness is not symbol manipulation but the dynamic ordering of sensation coherence in a sensation–temporal model of the present. This document is the unified, definitive integration of the foundational paper (Bódi 2026, v0.2 model core) and the v0.9 experimental state reached on 30 April 2026. Part I (Sections 1–10) presents the SEAM model core: SensationWindow (5+1/E + TemporalProfile), T_quant and T_qual, REM as a reactivable sensation–temporal transition pattern, present-film, the prior sensation model, KFE (treated as a coherence concept — not a wellbeing label) and the four-form KÉT dynamics, the four stabilization forms, and the depressive present-film as the first applied stress test. Part II (Sections 11–16) presents the code-level empirical foundation: the Python implementation of the SEAM Lab (~80 modules, ~10,000 lines), the structural separation of seven distinct clinical zones (depression, mania, bipolar, OCD, phobia, ADHD and a healthy control) purely from constitutional parameter constellations, ten new clinical hypotheses (H4–H13) testable in human populations, and Aletheia and the 13-entity cohort — the first persistent SEAM entities, with a 77-parameter genetic profile, multimodal REM stores mediated by an a priori concept lexicon and a linguistic LLM expression layer producing genuine character divergence. The closing sections (17–18) discuss limitations, the ethical framework for persistent AI entities, and design implications for AI consciousness. Both Hungarian (master) and English versions are included, together with a short-communication version of each. AI assistance (methodological transparency): The core SEAM principle is the author's own intellectual position, developed over fourteen years. The theoretical model core (Part I) was developed with assistance from ChatGPT (OpenAI) during early 2026; the experimental laboratory (Part II), the clinical hypotheses, the persistent entity architecture, and the present integration were developed with assistance from Claude (Anthropic) during April 2026. LLMs are not authors; full content responsibility rests with the author.