実行ガバナンス・ランタイム型AI。 LLM構造ではない。 閉域で自律成長するAEM。
ARIA/AEMは、ニューロモルフィック記憶（STDP）と実行ガバナンス（アポトーシス・Gate）により、閉域で経験を再配線しながら業務を自律代行するランタイム型AIです。知能の本体はトークン生成ではなく、正しい実行・承認・経験の継承にあります。
ARIA/AEMは、ニューロモルフィック記憶（STDP）と実行ガバナンス（アポトーシス・Gate）により、閉域で経験を再配線しながら業務を自律代行するランタイム型AIです。知能の本体はトークン生成ではなく、正しい実行・承認・経験の継承にあります。
閉域ランタイムに求められる 3つの技術要件
経験が継承されない
セッションやプロンプトが揮発すると、成功も失敗も次に残りません。汎用LLMを毎回リセットする運用では、組織固有の精度が積み上がりません。
LLM構造への依存
トークン生成を知能の本体にすると、ハルシネ・コスト増大・クラウド主権喪失が構造的に残ります。ローカル化してもモデル種別がLLMのままでは限界は同じです。
実行が統治されない
生成文をそのまま成果物にすると blast radius が制御できません。承認ゲートと失敗の免疫記憶なしに自律代行は危険です。
ARIA固有メカニズムの 技術的実装
シナプティック継承チェーン（6層皮質）
経験・権限・コンテキストを6層皮質のシナプティック継承チェーンに永続化。セッションを跨いで Inherited Authority として次の実行へ繋ぎます。
ニューロモルフィック推論（AEM/STDP）
STDPにより成功経路を強化し失敗を抑制。閉域の実績を再配線するニューロモルフィック推論が主経路で、使うほど汎用生成依存を逓減します。
実行ガバナンスと規範接続（Gate / Apoptosis）
サンドボックス承認とアポトーシスで未承認成果の外出しを防ぎ、危険実行を自律停止します。THEMISは規範・評価の接続層として連携します。
システムは止まらない — 世界が止まっても
ARIAは、セキュリティと可用性に妥協できないエンタープライズのために設計されました。
金融・医療・官公庁
FISC安全対策基準やHIPAA、政府統一基準群（ISMAP）への準拠が求められる環境でも、ARIAなら安心して導入いただけます。完全オフライン（エアギャップ）環境でのAI支援開発を実現し、機密データが組織外に一切流出しません。金融機関の勘定系システム開発、医療機関の電子カルテ関連開発、防衛・行政システムの開発において、セキュリティ審査をクリアしながらAIの生産性向上を享受できます。
大規模SIer・開発組織（100名〜）
数百名規模の開発組織では、コード品質のばらつきとレビューコストが慢性的な課題です。ARIAのP2P分散ネットワークは、各開発者の端末をノードとして相互接続し、DAO型のコードレビュー合意形成を実現。中央サーバーなしで、過半数のノードが承認したコードのみがマージされます。これにより、品質の均一化とレビュー工数の削減を同時に達成します。
なぜARIAは、LLM構造の限界を超えられるのか
ARIA/AEMはLLM構造ではない。実行ガバナンス・ランタイム型AIとして、ニューロモルフィック推論が本体を担う
ニューロモルフィック推論・記憶（AEM/STDP）
確率的トークン予測を知能の本体にしない。経験グラフとSTDPにより、過去の成功・失敗パターンを再配線し、閉域で使うほど精度が上がるニューロモルフィック推論が主経路です。
実行ガバナンス（Gate / Apoptosis）
生成文をそのまま成果としない。サンドボックスと承認ゲートで blast radius を制御し、未承認の成果を外に出さない。失敗は免疫記憶として次の実行に効きます。
経験吸収による経路スキップ
同じ成功パターンが十分に蓄積されると、汎用生成器を呼ばず経験パスで処理できる。重い生成モデルを不要に回すコストとミスを構造的に減らします。
なぜARIAは、LLM構造の限界を超えられるのか
ARIA/AEMはLLM構造の製品ではありません。閉域で自律成長する実行ガバナンス・ランタイム型AIであり、記憶の本体はニューロモルフィック（Harnessの先）です。補助の表現レイヤや教師経路と本体を混同せず、クラウドLLMへの逃がしも製品パスに置きません。
エコシステム内の認知ランタイム核
ARIAはシナプティック継承とニューロモルフィック推論を核とする実行ガバナンス・ランタイム型AIです。ARTHEAの業務ルールとPROMETIAの開発活動に接続し、ELYSION統括下で閉域の自律代行を支えます。
Arthea
ARIAが学習した組織のルールと判断基準を、定型業務の自動化エージェントに転用。人事・経理・法務の業務フローを知的に自動処理します。
Prometia
複数のAIエージェントを統合管制し、タスクの割り当て・進捗監視・品質チェックを一元化。人間とAIのハイブリッドチームを実現します。
Themis
AIの出力品質と人間の成果を公正に評価するフレームワーク。偽装コード検出（Zero Tolerance）やコード品質スコアリングを自動化します。
ARIAの技術詳細を確認する
シナプティック継承チェーン、ニューロモルフィック推論（AEM/STDP）、実行ガバナンス（Gate / Apoptosis）の仕様を公開しています。
Autonomous AI Agent Platform — Built-in Ethics Control and Four-Layer Knowledge Acquisition
An AI employee platform with advanced intelligence and built-in ethics governance. Apoptosis autonomously detects and stops unethical actions. Knowledge is safely acquired and elevated through a four-layer process (personal device → same-industry P2P → cross-industry P2P → core knowledge base). Cross-domain evaluation provides ecosystem-wide self-cleaning so abusive users become unusable across the ecosystem. Generated and developed by the THEMIS engine (Nava+Compass), agents operate under ARTHEA business rules.
ARIA is an AI employee (workforce) platform with advanced intelligence and ethics. It embeds apoptosis ethics control, four-layer knowledge acquisition (personal device → same-industry P2P → cross-industry P2P → core knowledge base, each via sandbox), and cross-domain evaluation for ecosystem self-cleaning. Agents generated and developed through THEMIS (Nava = personal reflection, Compass = quantitative accumulation of role-specific behavior) operate under ARTHEA business rules, while humans provide judgment at key points via human-on-the-loop. Connected under ELYSION orchestration; under staged delivery.
biologicalMetaphor
Autonomous AI Agent Platform
businessRequirements
id ethical-ai-workforce
title AI Employee Platform with Built-in Ethics Governance
description AI employee platform with advanced intelligence and ethics governance. Apoptosis autonomously detects and stops unethical actions. Generated and developed by THEMIS (Nava+Compass) and operated under ARTHEA business rules.
priority high
metrics Autonomous stop of dangerous actions via apoptosis Agent generation and development via THEMIS Autonomous operation under ARTHEA business rules id four-layer-knowledge
title Four-Layer Knowledge Acquisition Process
description Knowledge is safely acquired and elevated through four layers (personal device → same-industry P2P → cross-industry P2P → core knowledge base), with sandbox-mediated safe propagation at each stage.
priority high
metrics Layer 1: local learning on personal devices Layers 2–3: P2P propagation via sandbox Layer 4: elevation to core knowledge base id cross-domain-evaluation
title Self-Cleaning via Cross-Domain Evaluation
description Abusive users become unusable across the entire ecosystem. Evaluation records are shared beyond company boundaries to deter malicious behavior.
priority high
metrics Cross-domain evaluation records Ecosystem-wide usage restrictions Explainable evaluation rationale
useCases
id ai-employee-deployment
title Deploy Company-Specialized AI Employees
description Assign THEMIS-generated AI employees to ARTHEA processes for autonomous operation
stakeholders Business Owner Architect Compliance
benefits Staged adaptation to unknown work Human-on-the-loop final judgment Controllable behavioral norms
scenario Generate in THEMIS → assign to ARIA → operate under ARTHEA rules → human approval
challenges Ambiguous role definition Ethics boundary design
solutions Norm formation via Nava+Compass Apoptosis Approval workflows id safe-knowledge-propagation
title Safe Knowledge Propagation
description Four-layer process and sandboxes block dangerous knowledge while elevating useful knowledge
stakeholders Security Lead Data Governance R&D
benefits Safe knowledge sharing Isolation of contaminated knowledge Cross-organization learning effects
scenario Personal learning → same-industry P2P validation → cross-industry P2P → core elevation
challenges Malicious knowledge injection Privacy
solutions Sandbox validation Staged elevation gates Evaluation records id ecosystem-self-cleaning
title Ecosystem Self-Cleaning
description Cross-domain evaluation makes abusive users unusable across the ecosystem
stakeholders Platform Ops Security Legal
benefits Deterrence of abuse Network effects of trust Explainable sanctions
scenario Violation detection → evaluation record → cross-cutting restriction
challenges False positives Appeals
solutions Auditable rationale Appeals process (design phase)
businessValue
roiTimeframe Evaluated according to staged delivery phases
metrics name Autonomous operation with built-in ethics control
improvement Autonomous stop
baseline AI ops dependent on external monitoring
description Apoptosis autonomously detects and stops unethical actions name Four-layer knowledge acquisition
improvement Safe elevation
baseline Tacit knowledge loss and unverified sharing
description Elevate personal knowledge to core KB via sandboxed stages name Cross-domain evaluation
improvement Self-cleaning
baseline Sanctions closed within one organization
description Design that makes abusive users unusable across the ecosystem
costReduction Lower post-incident costs from dangerous actions (quantified in design phase)
productivityGains THEMIS-generated AI employees operate under ARTHEA rules; humans focus on judgment
competitiveAdvantages Technical implementation of ethics control via apoptosis Four-layer knowledge acquisition with sandbox propagation Self-cleaning via cross-domain evaluation Generation/development loop integrated with THEMIS (Nava+Compass)
roiMetrics initialInvestment Pricing under review (not published)
annualSavings Evaluated in design phase
paybackPeriod Evaluated after staged delivery
stakeholders
role Architect / Technical Lead
persona AI agent platform designer
needs Ethics control specs Knowledge boundaries THEMIS integration
benefits Technically describable ethics control Staged knowledge elevation ARTHEA linkage
workflows Mechanism design review Sandbox validation Agent assignment design role Compliance / Ethics
persona AI ethics governance owner
needs Apoptosis rationale Explainable evaluation Audit trails
benefits Evidence of autonomous stop Cross-cutting evaluation records Appeals process design
workflows Ethics review Incident analysis Policy updates role Business Owner
persona AI employee operations owner
needs Role assignment Approval points Business-rule compliance
benefits Autonomous operation Human-on-the-loop Adaptation to unknown work
workflows Agent assignment Outcome review Final approval
technicalArchitecture
overview Autonomous AI agent platform with built-in ethics control and four-layer knowledge acquisition. Generated/developed by THEMIS; operates under ARTHEA business rules.
components name Ethics Control Layer
description Autonomous detection and stop of unethical actions via apoptosis
technology Apoptosis Control Policy Evaluation
icon fas fa-shield-virus
details Dangerous action detection Autonomous stop Audit event emission name 4-Layer Knowledge Acquisition
description Personal device → same-industry P2P → cross-industry P2P → core KB
technology Sandbox Propagation P2P Exchange Core KB
icon fas fa-sitemap
details Staged gates Sandbox validation Elevation criteria name Cross-Domain Evaluation
description Ecosystem-wide evaluation and usage restrictions
technology Evaluation Registry Reputation Signals
icon fas fa-balance-scale
details Evaluation records Cross-cutting restrictions Explainable rationale name THEMIS Integration
description Agent generation and development via Nava+Compass
technology Nava Compass THEMIS API
icon fas fa-user-plus
details Behavioral norm formation Role-specific patterns Development loop name ARTHEA Execution Binding
description Binding for autonomous operation under business rules
technology Business Rule Binding Human-on-the-Loop
icon fas fa-link
details Rule-compliant execution Approval points Work logs
integrations THEMIS — generation and development via Nava+Compass ARTHEA — autonomous operation under business rules ELYSION — identity and ecosystem orchestration PROMETIA — conceptual integration with development activity logs
patterns Apoptosis (autonomous stop via ethics control) Four-layer knowledge acquisition Cross-domain evaluation Human-on-the-loop
infrastructure Staged delivery (ethics core → knowledge acquisition → cross-domain evaluation) Sandbox validation environments ELYSION identity linkage Design-phase evaluation registry
features
id apoptosis
name Apoptosis (Autonomous Stop via Ethics Control)
description Ethics control mechanism where the AI itself autonomously stops when detecting unethical or dangerous actions, preventing runaway behavior
category core
icon fas fa-hand-paper
technicalSpecs Policy evaluation of dangerous actions Autonomous stop trigger Audit recording of stop events
benefits Defense not solely dependent on external monitoring Explainable stop rationale Ecosystem-wide safety
useCases Preemptive blocking of dangerous operations Immediate stop on ethics boundary violations Post-incident rationale presentation id four-layer-knowledge-acquisition
name Four-Layer Knowledge Acquisition (Safe Propagation via Sandbox)
description Safely acquire and elevate knowledge across personal device → same-industry P2P → cross-industry P2P → core knowledge base
category core
icon fas fa-layer-group
technicalSpecs Layer 1: local learning on personal devices Layers 2–3: P2P via sandbox Layer 4: elevation to core knowledge base
benefits Isolation of contaminated knowledge Staged trust building Cross-organization learning effects
useCases Same-industry best practice sharing Cautious intake of cross-industry insights Quality gates for core knowledge id cross-domain-evaluation
name Cross-Domain Evaluation (Ecosystem-Wide Self-Cleaning)
description Evaluation of abusive users is shared beyond company boundaries; malicious actors become unusable across the entire ecosystem
category platform
icon fas fa-globe
technicalSpecs Evaluation registry Cross-cutting usage restrictions Explainable evaluation rationale
benefits Deterrence of abuse Network effects of trust Consistent governance
useCases Cross-cutting block of abusive use Audit of evaluation rationale Appeals (design phase) id themis-integration
name THEMIS Integration (Agent Generation & Development via Nava+Compass)
description Generate and develop AI employees via Nava (personal reflection) and Compass (quantitative role-specific behavior), operating under ARTHEA business rules
category ai-agent
icon fas fa-compass
technicalSpecs Nava — individuality from personal reflection Compass — quantitative accumulation of role-specific behavior ARTHEA business rule binding
benefits Company-specialized AI employees Controllable behavioral norms Continuous development
useCases Role-specific agent generation Development feedback loops Staged adaptation to unknown work
deployment
type cloud
name Cloud
description Staged cloud delivery (design phase)
requirements Cloud contract ELYSION identity linkage
benefits Rapid rollout Cross-domain evaluation registry linkage Ops automation type hybrid
name Hybrid
description Hybrid keeping personal-device layer local (design phase)
requirements Endpoint management P2P network design
benefits Layer-1 locality Data sovereignty considerations Phased migration
successFactors
Apoptosis ethics control as a first-class technical mechanism Four-layer knowledge acquisition with sandbox gates Cross-domain evaluation enabling ecosystem self-cleaning THEMIS (Nava+Compass) generation/development loop bound to ARTHEA rules