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Tonal Isomorphism

A Methodology for Cross-Domain Mapping in the Generative Age

Datos Bibliográficos

ID22134239
AutoresJonah Y C Hsu (0000-0003-3438-3225, Philadelphia University, autor de correspondencia)
Año2025
Volumen10
Número6
Páginas122
Fecha de publicación2025-11-05
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaPhilosophies (JOURNAL)
Identificadores de la revistaISSN: 2409-9287 • E-ISSN: 2409-9287
EditorialMDPI AG (PUBLISHER • IT)
DOI10.3390/philosophies10060122
OpenAlexW4415908604
IdiomaEN
Citas recibidas1
Referencias citadas18

This paper presents a methodological framework, Tonal Isomorphism (TI), derived from Tonal Meta-Ontology (TMO), focusing on operational protocols rather than ontological foundations. Tonal Isomorphism is framed as a meta-protocol rather than a metaphysical doctrine: its purpose is to provide a transferable logic that bridges disciplinary silos. We argue that knowledge breakthroughs can emerge not through trial-and-error experimentation alone, but through the isomorphic translation of tonal structures into domain-specific models. The methodology is demonstrated through three key contributions: (1) the Operationalization of Metaphysics, where tonal principles are expressed in executable forms such as the ToneWarp Equation and integrity-preserving responsibility chains; (2) the Unified Generative Field, a cross-domain modeling scaffold applicable to contexts ranging from arithmetic closure to digital trust protocols; and (3) the Generative Proof, which positions the methodology itself as a living demonstration of its claims, resistant to external mimicry. In an era defined by AI’s capacity for replication and simulation, Tonal Isomorphism offers a framework for knowledge generation where truth is not fixed discovery but a defensible, continuously enacted act of creation

Executable · Generative grammar · Operationalization · Soundness · Embodied and Extended Cognition · Music Technology and Sound Studies · Scientific Computing and Data Management

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Obras citantes distintas1
Citas por año1
Intervalo de citas2026 - 2026 (1)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 1
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