Observer as a Finite Distinction Register: Measurement Capacity, Dynamic Bottlenecks, and Budget-Crossing Signatures
Yining Wu
- Year
- 2026
- Citations
- 16
- Access
- Open access
Abstract
Paper also available at PhilArchive: https://philarchive.org/rec/WUOAAB Official website: distinctiontheory.orgPublic portal for the start guide, papers, claim status, failure registry, prior-art boundary, and citation resources. Canonical GitHub repository:https://github.com/yiningwu-research/Distinction-Theory FDS-O1 develops an operational finite-capacity model of physical observation and measurement. The paper replaces the idealized notion of an observer as a point of access to facts with a finite physical record-bearing system: a finite distinction-register. In this framework, an observer is a system that can register, preserve, update, order, and communicate distinctions only through finite records, finite channels, finite update rates, finite buffers, and finite thermodynamic budgets. The paper formulates measurement as stable record formation under finite capacity. A measurement event is not merely an interaction; it is the stabilization of an accessible record whose distinction class can be retained and used by a finite observer within a specified time window. The model defines measurement capacity through dynamically coupled bottlenecks, including sensor resolution, readout channel, internal memory, record stability, buffering, externalized access, compression, and irreversible update throughput. The central diagnostic condition compares task-relevant rate-distortion demand with accessible measurement capacity. When demand exceeds capacity, full-fidelity measurement is operationally impossible unless the system changes the boundary, increases time, buffers, externalizes records, compresses, erases, relaxes the task, or fails. The predicted budget-crossing signatures include bottleneck switching, latency jumps, buffer overflow, false merging, state merging, externalization bursts, reset cascades, and irreversible housekeeping costs. This version extends the initial O1 model by adding dynamic bottleneck coupling, transient versus sustained budget crossing, reversible-versus-irreversible heat accounting, a two-dimensional sensor-array simulation, an operational interface with decoherence, and a comparison with active inference and robotics. The accompanying replication package includes deterministic synthetic simulations, figures, CSV outputs, LaTeX source, and Python code. The simulations are illustrative model demonstrations, not fits to physical detector data, quantum experiments, biological observers, or human-subject data. Scope and boundary. This paper does not claim that consciousness is required for observation. It does not solve the quantum measurement problem, derive the Born rule, replace decoherence theory, modify unitary quantum mechanics, derive the Bekenstein bound, derive holography, or derive the Einstein equations. Its contribution is narrower: it converts finite-observer distinguishability budgets into a concrete measurement-capacity diagnostic framework with explicit budget-crossing signatures. This record is part of the Distinction Theory / Active Finite Distinction Systems research programme. Related archival materials, including the formal core, general archive, and claim registry, are maintained in the public project repository.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992