PhilArchive
open access
Intention-Weighted Probability: A Directional Extension to Consciousness-Biased Quantum Models
This paper extends a consciousness-weighted approach to quantum measurement by exploring whether intention-like informational structure can introduce extremely small, statistically detectable deviations from standard quantum outcome frequencies. Building on earlier conceptual and mathematical work, it proposes a “needle-in-a-haystack” framework focused on detection sensitivity, falsifiability, and experimental design constraints such as normalization and no-signaling. The goal is not to replace established physics, but to define a disciplined search space in which even vanishingly small anomalies—if present—could be identified, replicated, and separated from systematic error.
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
- Quantum propensities in the brain cortex and free will#736120
- Inner privacy of conscious experiences and quantum information#736106
- Quantum Binding Argument (QBA) Corollaries. ( How Quantum Non-Locality Falsifies Determinism, Compatibilism, and the Randomness Objection to free will )#104369
- Consciousness-Mediated Reality Theory: A Field-Theoretic Framework for Observer-Dependent Quantum Phenomena#726792
- Conservation of Rationality: How Finite Systems Represent an Irreducible World#704460
Record · ID 109599
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