PhilArchive
open access
The Paton System: Minimal Structural Condition on System Evolution
This note presents the minimal structural condition governing system evolution within the Paton System. All state transitions are expressed as the interaction between a generative transition function and an admissibility operator. A candidate state is proposed by a transition function and evaluated by an admissibility condition. Continuation occurs only when admissibility is satisfied; otherwise, evolution terminates. This formulation defines a minimal, domain-independent condition underlying physical, computational, biological, and abstract systems. It does not replace domain-specific laws but specifies the structural requirement under which they operate. The note serves as a compressed canonical statement of system evolution within the Paton framework.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The Admissibility Operator: A Universal Condition on State Transitions#78947
- The Paton Persistence Law: A Minimal Structural Expression of System Existence#73097
- Origin Phase-Space Geometry#708855
- The Paton System — Structural Architecture Map#78745
- Fit, Form, and Function: A Minimal Structural Condition for Admissible Continuation#730406
Record · ID 87175
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive