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August 19, 2026Open Access

KSC2: A Progressive Structural Framework for ASI Structural Openness, Structural Autonomy, and the Structural Difference between AGI and ASI

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明刘明 刘

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Overview

Theoretical analysis uncovers structural autonomy and task openness dimensions in advanced artificial intelligence, indicating artificial general intelligence and superintelligence advance along...

Key Points

  • To establish a structural framework for evaluating progress toward artificial superintelligence through task openness and structural autonomy, clarifying the structural distinctions between AGI and ASI.
  • Extended the Knowledge–Structure–Constraint (KSC) model to define structural openness, structural autonomy, and AI-Abstraction Cognitive Compounding (AACC).
  • Formulated structural criteria to evaluate an AI system's ability to independently generate, evaluate, and revise problem representations without human structural input.
  • Defined structural openness as a task-demand property and structural autonomy as the AI capability ceiling for autonomous high-level abstraction generation under fixed protocols.
  • Identified AI-Abstraction Cognitive Compounding (AACC) as a cumulative mechanism where validating high-value structures progressively broadens the scope of discoverable candidate structures.
  • Demonstrated that AGI and ASI differ by the breadth and capability ceiling of structural autonomy, operating as parallel and interacting capability frontiers rather than strictly sequential stages.

Cite This Study

明 刘 (2026) studied this question.

synapsesocial.com/papers/6a8563ae03308d306e2d6f1fhttps://doi.org/10.5281/zenodo.21976507
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Progressive Structural Framework for ASI: Structural Openness, AACC, and Structural Autonomy2026
  2. 2KSC: Knowledge, Structure, and Constraint — A Functional Framework for Human–AI Differences and Collaboration2026
  3. 3Knowledge, Structure, and Constraint: Rethinking Human-AI Differences and Collaboration through the KSC Framework2026
  4. 4Structural AI Implementation Science (SAIIS): A Theoretical Framework for the Generative Era2026
  5. 5From Generated Structures to Inherited Knowledge: Transgenerational Capability Accumulation in AI from a KSC Perspective2026