What question did this study set out to answer?

The research aims to create an adaptive architecture for autonomous systems that enables long-duration missions while preserving core identity.

April 22, 2026Open Access

View Full Paper

PCT/Ib2026/051495 Dual-Contour Adaptive Subject Architecture for Long-Duration Autonomous Systems

SDSergey Dzhumaev

Key Points

The research aims to create an adaptive architecture for autonomous systems that enables long-duration missions while preserving core identity.
Defined dual-contour architecture with Fast Operational Contour (FOC) and Slow Meta-Adaptive Contour (SMC).
Utilized a Divergence Accumulation Engine for monitoring predictive and observed variances.
Implemented governed phase transitions to ensure operational integrity during adaptations.
Enhanced self-directed adaptation mechanisms for long-duration missions.
Addressed challenges of catastrophic forgetting and goal drift in autonomous agents.
Established immutable survival policies that protect core operational logic.

Abstract

5281/zenodo.19665983 DUAL-CONTOUR ADAPTIVE SUBJECT ARCHITECTURE FOR LONG-DURATION AUTONOMOUS SYSTEMS (Commercial Name: The Subject / Adaptive Heart of AGI) This technical disclosure defines a dual-contour structural architecture for autonomous intelligent systems designed for extreme-duration missions and isolated environments. The "Subject" architecture enables self-directed adaptation while maintaining core mission integrity through governed state transitions. Core Technological Components: Fast Operational Contour (FOC): Executes real-time tactical control within strictly bounded survival constraints and invariant mission policies. Slow Meta-Adaptive Contour (SMC): Manages high-level structural models of the self and environment, enabling strategic reconfiguration without external oversight. Divergence Accumulation Engine: A unique mechanism that integrates predictive-vs-observed variance over time, triggering adaptation only when structural thresholds are met. Governed Phase Transition Controller: A fail-safe mechanism that freezes operational logic during structural updates to prevent identity loss or logic corruption during reconfiguration. Survival Policy Core: An immutable set of cryptographic constraints that define the system's "biological" boundaries, inaccessible to modification by standard operational cycles. Strategic Context: As a vital component of the General Coherent Field Theory (G-CFT) ecosystem, this architecture provides the mechanism for "Persistent Identity." It solves the problem of catastrophic forgetting and goal drift in autonomous agents deployed in deep space, defense, or long-term research roles. Commercial Status: Official PCT application (WIPO 2026). This technology is a primary asset for organizations building resilient, autonomous infrastructure where continuous human supervision is impossible or undesirable. Available for licensing and strategic IP acquisition. Keywords & Hashtags: #AutonomousSystems #AGI #SelfAdaptation #TheSubject #GCFT #DeepSpaceAI #ResilientRobotics #DualContour #WIPO #PCT2026 #IdentityPreservation #AIArchitecture #SurvivalLogic #XAI #Palantir #SpaceX #GeneralDynamics

AI에게 질문

Bookmark

View Full Paper

AI에게 질문

Bookmark

View Full Paper

PCT/Ib2026/051495 Dual-Contour Adaptive Subject Architecture for Long-Duration Autonomous Systems

Key Points

Abstract

Cite This Study