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ZENODO
Preprint . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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Stone Representation of Cognitive Transistors: Witnesses as Topological Cutters

Authors: Elliott, Jacob Alexander;

Stone Representation of Cognitive Transistors: Witnesses as Topological Cutters

Abstract

We establish a correspondence between the cognitive transistor formalism and Stone duality. A witness—comprising feature extractor, evidence space, valuation, latch, and output—partitions state space into distinguishable regions. The evidence space taxonomy is unbounded: scalar, vector, tensor, algebraic, topological, cohomological, distributional, functional, and arbitrary combinations. Any witness array induces a Boolean algebra of decidable distinctions; by Stone duality, this corresponds to a compact totally disconnected Hausdorff space whose points are maximal consistent epistemic states. The inverse limit of successive refinements yields the Stone space of the system’s full observability structure. We develop the formalism in detail, prove the core theorems, provide worked examples from electrical engineering and mathematics, and clarify that “Logic is Geometry” is a technical claim grounded in Stone’s 1936 theorem, not a metaphor. The formalism encompasses all of electrical engineering as the physically realizable subset of the infinite witness family, and provides a unified framework for understanding epistemic computation across domains.

© 2026 Jacob Alexander Elliott.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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