evae-framework-patent/en

EVΛƎ Framework — Patent Overview

Summary

On September 28, 2025, Amuletplus filed a patent for the “Dual‑Loop Information Processing System Connecting Consciousness and Action Loops (EVΛƎ Framework).”

The EVΛƎ Framework defines a structure through which AI can handle the cycle of E (Impulse) → V (Possibility) → Λ (Choice) → Ǝ (Observation) — a core architecture designed to create AI that returns meaning to its own choices.

Background

In Europe and the United States, legislation for AI safety and ethics is advancing rapidly.
The EU AI Act restricts the commercial use of AI systems lacking explainability, while in the U.S., NIST’s AI Risk Management Framework defines transparency and explainability as prerequisites for implementation.

The greatest challenge faced by current AI is the black‑box problem—its inability to explain why a decision was made.
Because of this, AI deployment in critical sectors such as autonomous driving, finance, and healthcare, where human life, assets, and ethics are at stake, has been effectively stalled by legal and trust barriers.

The EVΛƎ Framework directly addresses this issue by visualizing AI’s decision‑making process through the structure of Impulse → Possibility → Choice → Observation, making it the world’s first architecture that can explain both the reason and the meaning behind a choice.


What’s New

  • Dual Loop: Connects the consciousness loop and the action loop while maintaining asymmetry.

  • Meaning Feedback: Updates meaning through observation and reflects it in the next decision cycle.

  • Future Candidate Generation: Generates adaptive alternatives based on previous outcomes.

  • Transparency & Safety: Modularizes AI decision flow for complete traceability.

(Full technical details available under NDA.)

Application Fields

  • Autonomous Driving: Enhanced safety through decision explainability.

  • Medical Support: Transparent diagnostic reasoning and reliability improvement.

  • Education / Coaching: Visualization of learners’ decision‑making processes.

  • Creative Collaboration: Supports meaning generation in human–AI co‑creation.

Demonstration / Implementation Example

The EVΛƎ Framework is already partially implemented in the AI diagnostic app “Soul Layer Diagnosis.”
This tool visualizes internal tendencies and balance across the four axes of E (Impulse), V (Possibility), Λ (Choice), and Ǝ (Observation).
Diagnostic results are accumulated as daily decision logs, allowing users to track changes in observation and choice — providing an experience where humans and AI co‑observe and co‑create meaning.


Filing Information

  • Filing Date: September 28, 2025

  • Title: Dual‑Loop Information Processing System Connecting Consciousness and Action Loops

  • Applicant: Amuletplus G.K.

  • Application Number: To be announced after publication


FAQ

Q1. What differentiates it from existing AI frameworks?
By centering on meaning update, the framework enables AI to explain the reasoning behind its choices — a new concept that opens the black box.

Q2. How is it related to Soul Layer Diagnosis?
The app serves as an experiential prototype of the EVΛƎ theory, quantifying E/V/Λ/Ǝ and analyzing the structure of decision‑making.

Q3. What are the business applications?
It can be implemented across diverse fields including education, medicine, and corporate decision support. PoC (Proof of Concept) and co‑development are planned.

Q4. Will there be international patent filings?
A PCT application is under consideration, with filings planned for the U.S., EU, and major Asian countries after domestic review.

Q5. Is technical collaboration possible?
Yes. After signing an NDA, we can discuss potential PoC or technology partnerships.

All diagrams and text are conceptual for explanation purposes. Full technical disclosure will be available after NDA.

☥ SOUL LAYER — AI Diagnostic App (in development)

An AI diagnostic application powered by the EVΛƎ Framework, enabling users to experience the process of meaning observation and co‑creation with AI.

EVΛƎフレームワークを実装したソウルレイヤー診断画面。直近のメッセージとE・V・Λ・Ǝの構造バランスを示すレーダーチャートが表示されている。