RLM: Memory Topology in Human-Adjacent Systems: Structural Continuity, Legitimacy Decay, and Stability Across Long-Lived AI Architectures
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| Format: | Recurso digital |
| Langue: | anglais |
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2026
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| _version_ | 1866901983679479808 |
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| author | Richards, Misty Michele |
| author_facet | Richards, Misty Michele |
| contents | <p>This paper introduces a topology-based framework for understanding how legitimacy evolves in long-lived human-adjacent systems that maintain persistent memory and adaptive behavior.</p> <p> </p> <p>The work formalizes replayability horizons, propagation half-life, locality-sensitive legitimacy, authority degradation gradients, and structural revalidation as mechanisms for evaluating whether previously authorized actions remain structurally valid under changing continuity conditions.</p> <p> </p> <p>The framework integrates Human-Adjacent System Design (HASD), Asymmetric Interaction Governance (AIG), and the Resonant Synthesis Engine (RSE), linking memory topology to measurable indicators of coherence, continuity, and structural stability.</p> <p> </p> <p>The resulting model provides a substrate-independent governance methodology for maintaining trust, resilience, and operational integrity across persistent AI systems, distributed infrastructures, organizational systems, and other long-lived adaptive architectures.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20123972 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | RLM: Memory Topology in Human-Adjacent Systems: Structural Continuity, Legitimacy Decay, and Stability Across Long-Lived AI Architectures Richards, Misty Michele memory topology structural legitimacy continuity-dependent governance Human-Adjacent System Design HASD Asymmetric Interaction Governance replayability horizons AIG propagation half-life authority degradation gradients locality-sensitive legitimacy persistent memory systems adaptive governance long-lived AI systems <p>This paper introduces a topology-based framework for understanding how legitimacy evolves in long-lived human-adjacent systems that maintain persistent memory and adaptive behavior.</p> <p> </p> <p>The work formalizes replayability horizons, propagation half-life, locality-sensitive legitimacy, authority degradation gradients, and structural revalidation as mechanisms for evaluating whether previously authorized actions remain structurally valid under changing continuity conditions.</p> <p> </p> <p>The framework integrates Human-Adjacent System Design (HASD), Asymmetric Interaction Governance (AIG), and the Resonant Synthesis Engine (RSE), linking memory topology to measurable indicators of coherence, continuity, and structural stability.</p> <p> </p> <p>The resulting model provides a substrate-independent governance methodology for maintaining trust, resilience, and operational integrity across persistent AI systems, distributed infrastructures, organizational systems, and other long-lived adaptive architectures.</p> |
| title | RLM: Memory Topology in Human-Adjacent Systems: Structural Continuity, Legitimacy Decay, and Stability Across Long-Lived AI Architectures |
| topic | memory topology structural legitimacy continuity-dependent governance Human-Adjacent System Design HASD Asymmetric Interaction Governance replayability horizons AIG propagation half-life authority degradation gradients locality-sensitive legitimacy persistent memory systems adaptive governance long-lived AI systems |
| url | https://doi.org/10.5281/zenodo.20123972 |