PhilArchive
open access
Maximum Entropy and Its Alignment with the Three Universal Laws of Nature
Abstract Maximum entropy, a foundational concept in physics, information theory, and statistical modeling, represents the state of greatest uncertainty or disorder consistent with known constraints. This paper explores the relationship between maximum entropy and a recently proposed framework of three universal laws of nature: the law of karma (system integrity), the law of balance in nature, and the law of cause and effect (feedback). Through theoretical analysis and practical examples, it is argued that maximum entropy can be interpreted as a natural manifestation of these laws, offering insights into equilibrium, probabilistic reasoning, and system behavior.
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
- Interconnected Decision Systems: Universal Formula, Free Will, and Information Evolution#109544
- The Relational Model as an Operational Proof of the Universal Formula#86507
- Recursive Convergence in Systems of Nature, Free Will, and Universal Balance#99339
- A Universal Systems Law Underlying All Branches of Mathematics: Consistency, Balance, and Structural Limits#74340
- Recursive Convergence and the Universal Formula: A Natural Framework for Free Will and Systemic Balance#80291
Record · ID 731699
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